CN105320965A - Hyperspectral image classification method based on spectral-spatial cooperation of deep convolutional neural network - Google Patents
Hyperspectral image classification method based on spectral-spatial cooperation of deep convolutional neural network Download PDFInfo
- Publication number
- CN105320965A CN105320965A CN201510697372.9A CN201510697372A CN105320965A CN 105320965 A CN105320965 A CN 105320965A CN 201510697372 A CN201510697372 A CN 201510697372A CN 105320965 A CN105320965 A CN 105320965A
- Authority
- CN
- China
- Prior art keywords
- convolutional neural
- spectral
- neural networks
- spectrum signature
- depth
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000013527 convolutional neural network Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 18
- 239000000284 extract Substances 0.000 claims abstract description 15
- 238000001228 spectrum Methods 0.000 claims description 71
- 230000003595 spectral effect Effects 0.000 claims description 11
- 239000013598 vector Substances 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 5
- 238000012706 support-vector machine Methods 0.000 abstract description 8
- 238000013528 artificial neural network Methods 0.000 abstract description 4
- 230000006835 compression Effects 0.000 abstract description 3
- 238000007906 compression Methods 0.000 abstract description 3
- 230000006870 function Effects 0.000 description 5
- 238000013507 mapping Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 238000011176 pooling Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011478 gradient descent method Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims (1)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510697372.9A CN105320965B (en) | 2015-10-23 | 2015-10-23 | Sky based on depth convolutional neural networks composes united hyperspectral image classification method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510697372.9A CN105320965B (en) | 2015-10-23 | 2015-10-23 | Sky based on depth convolutional neural networks composes united hyperspectral image classification method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105320965A true CN105320965A (en) | 2016-02-10 |
CN105320965B CN105320965B (en) | 2018-11-30 |
Family
ID=55248319
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510697372.9A Expired - Fee Related CN105320965B (en) | 2015-10-23 | 2015-10-23 | Sky based on depth convolutional neural networks composes united hyperspectral image classification method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105320965B (en) |
Cited By (41)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105825235A (en) * | 2016-03-16 | 2016-08-03 | 博康智能网络科技股份有限公司 | Image identification method based on deep learning of multiple characteristic graphs |
CN105957086A (en) * | 2016-05-09 | 2016-09-21 | 西北工业大学 | Remote sensing image change detection method based on optimized neural network model |
CN105956572A (en) * | 2016-05-15 | 2016-09-21 | 北京工业大学 | In vivo face detection method based on convolutional neural network |
CN106022355A (en) * | 2016-05-09 | 2016-10-12 | 西北工业大学 | 3DCNN (three-dimensional convolutional neural network)-based high-spectral image space spectrum combined classification method |
CN106023154A (en) * | 2016-05-09 | 2016-10-12 | 西北工业大学 | Multi-temporal SAR image change detection method based on dual-channel convolutional neural network (CNN) |
CN106203522A (en) * | 2016-07-15 | 2016-12-07 | 西安电子科技大学 | Hyperspectral image classification method based on three-dimensional non-local mean filtering |
CN106326899A (en) * | 2016-08-18 | 2017-01-11 | 郑州大学 | Tobacco leaf grading method based on hyperspectral image and deep learning algorithm |
CN106404388A (en) * | 2016-09-13 | 2017-02-15 | 西安科技大学 | Scraper conveyor chain fluttering fault diagnosis method |
CN106408009A (en) * | 2016-09-08 | 2017-02-15 | 哈尔滨工业大学 | Depth belief network-based neighborhood weighted averaging hyperspectral image classification method |
CN106446936A (en) * | 2016-09-06 | 2017-02-22 | 哈尔滨工业大学 | Hyperspectral data classification method for spectral-spatial combined data and oscillogram conversion based on convolution neural network |
CN106529458A (en) * | 2016-10-31 | 2017-03-22 | 重庆大学 | Deep neural network space spectrum classification method for high-spectral image |
CN106650765A (en) * | 2016-09-06 | 2017-05-10 | 哈尔滨工业大学 | Hyperspectral data classification method through converting hyperspectral data to gray image based on convolutional neural network |
CN106682675A (en) * | 2016-12-29 | 2017-05-17 | 中国电子科技集团公司第五十四研究所 | Space spectrum combined feature extracting method for hyperspectral images |
CN106845381A (en) * | 2017-01-16 | 2017-06-13 | 西北工业大学 | Sky based on binary channels convolutional neural networks composes united hyperspectral image classification method |
CN107122708A (en) * | 2017-03-17 | 2017-09-01 | 广东工业大学 | Classification hyperspectral imagery algorithm based on convolutional neural networks and the learning machine that transfinites |
CN107180248A (en) * | 2017-06-12 | 2017-09-19 | 桂林电子科技大学 | Strengthen the hyperspectral image classification method of network based on associated losses |
CN107239775A (en) * | 2017-07-28 | 2017-10-10 | 湖南大学 | Terrain classification method and device |
CN107273807A (en) * | 2017-05-19 | 2017-10-20 | 河海大学 | A kind of Remote Image Classification |
CN107516061A (en) * | 2016-06-17 | 2017-12-26 | 北京市商汤科技开发有限公司 | A kind of image classification method and system |
CN107576618A (en) * | 2017-07-20 | 2018-01-12 | 华南理工大学 | Pyricularia Oryzae detection method and system based on depth convolutional neural networks |
CN107622274A (en) * | 2016-07-15 | 2018-01-23 | 北京市商汤科技开发有限公司 | Neural network training method, device and computer equipment for image procossing |
CN107657285A (en) * | 2017-10-13 | 2018-02-02 | 哈尔滨工业大学 | Hyperspectral image classification method based on Three dimensional convolution neutral net |
CN107688576A (en) * | 2016-08-04 | 2018-02-13 | 中国科学院声学研究所 | The structure and tendentiousness sorting technique of a kind of CNN SVM models |
CN107909015A (en) * | 2017-10-27 | 2018-04-13 | 广东省智能制造研究所 | Hyperspectral image classification method based on convolutional neural networks and empty spectrum information fusion |
CN108256557A (en) * | 2017-12-25 | 2018-07-06 | 西安电子科技大学 | The hyperspectral image classification method integrated with reference to deep learning and neighborhood |
CN108510071A (en) * | 2017-05-10 | 2018-09-07 | 腾讯科技(深圳)有限公司 | Feature extracting method, device and the computer readable storage medium of data |
CN108596213A (en) * | 2018-04-03 | 2018-09-28 | 中国地质大学(武汉) | A kind of Classification of hyperspectral remote sensing image method and system based on convolutional neural networks |
CN108629368A (en) * | 2018-03-28 | 2018-10-09 | 天津师范大学 | A kind of multi-modal ground cloud classification method based on combined depth fusion |
CN108960333A (en) * | 2018-07-12 | 2018-12-07 | 西安电子科技大学 | Lossless compression method for high spectrum image based on deep learning |
CN109101999A (en) * | 2018-07-16 | 2018-12-28 | 华东师范大学 | The credible decision-making technique of association's neural network based on support vector machines |
CN109543139A (en) * | 2017-09-22 | 2019-03-29 | 杭州海康威视数字技术股份有限公司 | Convolution algorithm method, apparatus, computer equipment and computer readable storage medium |
CN109740652A (en) * | 2018-12-24 | 2019-05-10 | 深圳大学 | A kind of pathological image classification method and computer equipment |
CN109753996A (en) * | 2018-12-17 | 2019-05-14 | 西北工业大学 | Hyperspectral image classification method based on D light quantisation depth network |
CN109816002A (en) * | 2019-01-11 | 2019-05-28 | 广东工业大学 | The single sparse self-encoding encoder detection method of small target migrated certainly based on feature |
CN109934335A (en) * | 2019-03-05 | 2019-06-25 | 清华大学 | High-speed railway track switch method for diagnosing faults based on interacting depth study |
CN110009015A (en) * | 2019-03-25 | 2019-07-12 | 西北工业大学 | EO-1 hyperion small sample classification method based on lightweight network and semi-supervised clustering |
CN110084159A (en) * | 2019-04-15 | 2019-08-02 | 西安电子科技大学 | Hyperspectral image classification method based on the multistage empty spectrum information CNN of joint |
CN110298396A (en) * | 2019-06-25 | 2019-10-01 | 北京工业大学 | Hyperspectral image classification method based on deep learning multiple features fusion |
CN111126256A (en) * | 2019-12-23 | 2020-05-08 | 武汉大学 | Hyperspectral image classification method based on self-adaptive space-spectrum multi-scale network |
CN111144423A (en) * | 2019-12-26 | 2020-05-12 | 哈尔滨工业大学 | Hyperspectral remote sensing data multi-scale spectral feature extraction method based on one-dimensional group convolution neural network |
CN111414968A (en) * | 2020-03-26 | 2020-07-14 | 西南交通大学 | Multi-mode remote sensing image matching method based on convolutional neural network characteristic diagram |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102982339A (en) * | 2012-10-31 | 2013-03-20 | 浙江大学 | Hyperspectral characteristic variable selection method |
CN103903010A (en) * | 2014-03-28 | 2014-07-02 | 哈尔滨工程大学 | Method for classifying hyperspectral images based on sparse characteristics and same neighborhood properties |
CN104751162A (en) * | 2015-04-03 | 2015-07-01 | 哈尔滨工业大学 | Hyperspectral remote sensing data feature extraction method based on convolution neural network |
-
2015
- 2015-10-23 CN CN201510697372.9A patent/CN105320965B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102982339A (en) * | 2012-10-31 | 2013-03-20 | 浙江大学 | Hyperspectral characteristic variable selection method |
CN103903010A (en) * | 2014-03-28 | 2014-07-02 | 哈尔滨工程大学 | Method for classifying hyperspectral images based on sparse characteristics and same neighborhood properties |
CN104751162A (en) * | 2015-04-03 | 2015-07-01 | 哈尔滨工业大学 | Hyperspectral remote sensing data feature extraction method based on convolution neural network |
Non-Patent Citations (1)
Title |
---|
ALI SHARIF RAZAVIAN ETC,: ""CNN Features off-the-shelf: an Astounding Baseline for Recognition"", 《2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS》 * |
Cited By (66)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105825235B (en) * | 2016-03-16 | 2018-12-25 | 新智认知数据服务有限公司 | A kind of image-recognizing method based on multi-characteristic deep learning |
CN105825235A (en) * | 2016-03-16 | 2016-08-03 | 博康智能网络科技股份有限公司 | Image identification method based on deep learning of multiple characteristic graphs |
CN105957086A (en) * | 2016-05-09 | 2016-09-21 | 西北工业大学 | Remote sensing image change detection method based on optimized neural network model |
CN106022355A (en) * | 2016-05-09 | 2016-10-12 | 西北工业大学 | 3DCNN (three-dimensional convolutional neural network)-based high-spectral image space spectrum combined classification method |
CN106023154A (en) * | 2016-05-09 | 2016-10-12 | 西北工业大学 | Multi-temporal SAR image change detection method based on dual-channel convolutional neural network (CNN) |
CN106023154B (en) * | 2016-05-09 | 2019-03-29 | 西北工业大学 | Multidate SAR image change detection based on binary channels convolutional neural networks |
CN106022355B (en) * | 2016-05-09 | 2019-03-29 | 西北工业大学 | High spectrum image sky based on 3DCNN composes joint classification method |
CN105956572A (en) * | 2016-05-15 | 2016-09-21 | 北京工业大学 | In vivo face detection method based on convolutional neural network |
CN107516061B (en) * | 2016-06-17 | 2020-04-07 | 北京市商汤科技开发有限公司 | Image classification method and system |
CN107516061A (en) * | 2016-06-17 | 2017-12-26 | 北京市商汤科技开发有限公司 | A kind of image classification method and system |
CN107622274A (en) * | 2016-07-15 | 2018-01-23 | 北京市商汤科技开发有限公司 | Neural network training method, device and computer equipment for image procossing |
CN107622274B (en) * | 2016-07-15 | 2020-06-02 | 北京市商汤科技开发有限公司 | Neural network training method and device for image processing and computer equipment |
CN106203522A (en) * | 2016-07-15 | 2016-12-07 | 西安电子科技大学 | Hyperspectral image classification method based on three-dimensional non-local mean filtering |
CN107688576B (en) * | 2016-08-04 | 2020-06-16 | 中国科学院声学研究所 | Construction and tendency classification method of CNN-SVM model |
CN107688576A (en) * | 2016-08-04 | 2018-02-13 | 中国科学院声学研究所 | The structure and tendentiousness sorting technique of a kind of CNN SVM models |
CN106326899A (en) * | 2016-08-18 | 2017-01-11 | 郑州大学 | Tobacco leaf grading method based on hyperspectral image and deep learning algorithm |
CN106650765A (en) * | 2016-09-06 | 2017-05-10 | 哈尔滨工业大学 | Hyperspectral data classification method through converting hyperspectral data to gray image based on convolutional neural network |
CN106446936A (en) * | 2016-09-06 | 2017-02-22 | 哈尔滨工业大学 | Hyperspectral data classification method for spectral-spatial combined data and oscillogram conversion based on convolution neural network |
CN106650765B (en) * | 2016-09-06 | 2019-06-11 | 哈尔滨工业大学 | High-spectral data based on convolutional neural networks turns the Hyperspectral data classification method of grayscale image |
CN106446936B (en) * | 2016-09-06 | 2019-07-02 | 哈尔滨工业大学 | Empty spectrum joint data based on convolutional neural networks turn the Hyperspectral data classification method of waveform diagram |
CN106408009B (en) * | 2016-09-08 | 2019-04-12 | 哈尔滨工业大学 | Neighborhood weighted average hyperspectral image classification method based on depth confidence network |
CN106408009A (en) * | 2016-09-08 | 2017-02-15 | 哈尔滨工业大学 | Depth belief network-based neighborhood weighted averaging hyperspectral image classification method |
CN106404388A (en) * | 2016-09-13 | 2017-02-15 | 西安科技大学 | Scraper conveyor chain fluttering fault diagnosis method |
CN106404388B (en) * | 2016-09-13 | 2018-10-19 | 西安科技大学 | A kind of drag conveyor floats chain method for diagnosing faults |
CN106529458A (en) * | 2016-10-31 | 2017-03-22 | 重庆大学 | Deep neural network space spectrum classification method for high-spectral image |
CN106682675A (en) * | 2016-12-29 | 2017-05-17 | 中国电子科技集团公司第五十四研究所 | Space spectrum combined feature extracting method for hyperspectral images |
CN106682675B (en) * | 2016-12-29 | 2019-06-28 | 中国电子科技集团公司第五十四研究所 | A kind of empty spectrum union feature extracting method towards high spectrum image |
CN106845381B (en) * | 2017-01-16 | 2022-09-23 | 西北工业大学 | Spatial-spectral combined hyperspectral image classification method based on two-channel convolutional neural network |
CN106845381A (en) * | 2017-01-16 | 2017-06-13 | 西北工业大学 | Sky based on binary channels convolutional neural networks composes united hyperspectral image classification method |
CN107122708A (en) * | 2017-03-17 | 2017-09-01 | 广东工业大学 | Classification hyperspectral imagery algorithm based on convolutional neural networks and the learning machine that transfinites |
CN108510071A (en) * | 2017-05-10 | 2018-09-07 | 腾讯科技(深圳)有限公司 | Feature extracting method, device and the computer readable storage medium of data |
CN108510071B (en) * | 2017-05-10 | 2020-01-10 | 腾讯科技(深圳)有限公司 | Data feature extraction method and device and computer readable storage medium |
CN107273807A (en) * | 2017-05-19 | 2017-10-20 | 河海大学 | A kind of Remote Image Classification |
CN107180248A (en) * | 2017-06-12 | 2017-09-19 | 桂林电子科技大学 | Strengthen the hyperspectral image classification method of network based on associated losses |
CN107576618A (en) * | 2017-07-20 | 2018-01-12 | 华南理工大学 | Pyricularia Oryzae detection method and system based on depth convolutional neural networks |
CN107576618B (en) * | 2017-07-20 | 2020-04-28 | 华南理工大学 | Rice panicle blast detection method and system based on deep convolutional neural network |
CN107239775A (en) * | 2017-07-28 | 2017-10-10 | 湖南大学 | Terrain classification method and device |
US11645357B2 (en) | 2017-09-22 | 2023-05-09 | Hangzhou Hikvision Digital Technology Co., Ltd. | Convolution operation method and apparatus, computer device, and computer-readable storage medium |
CN109543139A (en) * | 2017-09-22 | 2019-03-29 | 杭州海康威视数字技术股份有限公司 | Convolution algorithm method, apparatus, computer equipment and computer readable storage medium |
CN107657285A (en) * | 2017-10-13 | 2018-02-02 | 哈尔滨工业大学 | Hyperspectral image classification method based on Three dimensional convolution neutral net |
CN107909015A (en) * | 2017-10-27 | 2018-04-13 | 广东省智能制造研究所 | Hyperspectral image classification method based on convolutional neural networks and empty spectrum information fusion |
CN108256557A (en) * | 2017-12-25 | 2018-07-06 | 西安电子科技大学 | The hyperspectral image classification method integrated with reference to deep learning and neighborhood |
CN108256557B (en) * | 2017-12-25 | 2021-09-28 | 西安电子科技大学 | Hyperspectral image classification method combining deep learning and neighborhood integration |
CN108629368B (en) * | 2018-03-28 | 2021-05-07 | 天津师范大学 | Multi-modal foundation cloud classification method based on joint depth fusion |
CN108629368A (en) * | 2018-03-28 | 2018-10-09 | 天津师范大学 | A kind of multi-modal ground cloud classification method based on combined depth fusion |
CN108596213A (en) * | 2018-04-03 | 2018-09-28 | 中国地质大学(武汉) | A kind of Classification of hyperspectral remote sensing image method and system based on convolutional neural networks |
CN108960333B (en) * | 2018-07-12 | 2021-12-17 | 西安电子科技大学 | Hyperspectral image lossless compression method based on deep learning |
CN108960333A (en) * | 2018-07-12 | 2018-12-07 | 西安电子科技大学 | Lossless compression method for high spectrum image based on deep learning |
CN109101999A (en) * | 2018-07-16 | 2018-12-28 | 华东师范大学 | The credible decision-making technique of association's neural network based on support vector machines |
CN109101999B (en) * | 2018-07-16 | 2021-06-25 | 华东师范大学 | Support vector machine-based cooperative neural network credible decision method |
CN109753996B (en) * | 2018-12-17 | 2022-05-10 | 西北工业大学 | Hyperspectral image classification method based on three-dimensional lightweight depth network |
CN109753996A (en) * | 2018-12-17 | 2019-05-14 | 西北工业大学 | Hyperspectral image classification method based on D light quantisation depth network |
CN109740652A (en) * | 2018-12-24 | 2019-05-10 | 深圳大学 | A kind of pathological image classification method and computer equipment |
CN109816002A (en) * | 2019-01-11 | 2019-05-28 | 广东工业大学 | The single sparse self-encoding encoder detection method of small target migrated certainly based on feature |
CN109816002B (en) * | 2019-01-11 | 2022-09-06 | 广东工业大学 | Single sparse self-encoder weak and small target detection method based on feature self-migration |
CN109934335A (en) * | 2019-03-05 | 2019-06-25 | 清华大学 | High-speed railway track switch method for diagnosing faults based on interacting depth study |
CN110009015A (en) * | 2019-03-25 | 2019-07-12 | 西北工业大学 | EO-1 hyperion small sample classification method based on lightweight network and semi-supervised clustering |
CN110084159B (en) * | 2019-04-15 | 2021-11-02 | 西安电子科技大学 | Hyperspectral image classification method based on combined multistage spatial spectrum information CNN |
CN110084159A (en) * | 2019-04-15 | 2019-08-02 | 西安电子科技大学 | Hyperspectral image classification method based on the multistage empty spectrum information CNN of joint |
CN110298396B (en) * | 2019-06-25 | 2022-02-08 | 北京工业大学 | Hyperspectral image classification method based on deep learning multi-feature fusion |
CN110298396A (en) * | 2019-06-25 | 2019-10-01 | 北京工业大学 | Hyperspectral image classification method based on deep learning multiple features fusion |
CN111126256A (en) * | 2019-12-23 | 2020-05-08 | 武汉大学 | Hyperspectral image classification method based on self-adaptive space-spectrum multi-scale network |
CN111144423A (en) * | 2019-12-26 | 2020-05-12 | 哈尔滨工业大学 | Hyperspectral remote sensing data multi-scale spectral feature extraction method based on one-dimensional group convolution neural network |
CN111144423B (en) * | 2019-12-26 | 2023-05-05 | 哈尔滨工业大学 | Hyperspectral remote sensing data multi-scale spectral feature extraction method based on one-dimensional group convolutional neural network |
CN111414968A (en) * | 2020-03-26 | 2020-07-14 | 西南交通大学 | Multi-mode remote sensing image matching method based on convolutional neural network characteristic diagram |
CN111414968B (en) * | 2020-03-26 | 2022-05-03 | 西南交通大学 | Multi-mode remote sensing image matching method based on convolutional neural network characteristic diagram |
Also Published As
Publication number | Publication date |
---|---|
CN105320965B (en) | 2018-11-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105320965A (en) | Hyperspectral image classification method based on spectral-spatial cooperation of deep convolutional neural network | |
CN110555458B (en) | Multi-band image feature level fusion method for generating countermeasure network based on attention mechanism | |
CN109271522B (en) | Comment emotion classification method and system based on deep hybrid model transfer learning | |
CN111079685B (en) | 3D target detection method | |
CN107609587B (en) | Multi-class multi-view data generation method for generating countermeasure network based on deep convolution | |
CN110348399B (en) | Hyperspectral intelligent classification method based on prototype learning mechanism and multidimensional residual error network | |
CN102324047B (en) | Hyper-spectral image ground object recognition method based on sparse kernel representation (SKR) | |
CN106845381A (en) | Sky based on binary channels convolutional neural networks composes united hyperspectral image classification method | |
CN104462494B (en) | A kind of remote sensing image retrieval method and system based on unsupervised feature learning | |
CN110110599B (en) | Remote sensing image target detection method based on multi-scale feature fusion | |
CN113822209B (en) | Hyperspectral image recognition method and device, electronic equipment and readable storage medium | |
CN106022355B (en) | High spectrum image sky based on 3DCNN composes joint classification method | |
CN110135227B (en) | Laser point cloud outdoor scene automatic segmentation method based on machine learning | |
CN104200224A (en) | Valueless image removing method based on deep convolutional neural networks | |
CN108021947A (en) | A kind of layering extreme learning machine target identification method of view-based access control model | |
CN107944483B (en) | Multispectral image classification method based on dual-channel DCGAN and feature fusion | |
CN104268593A (en) | Multiple-sparse-representation face recognition method for solving small sample size problem | |
CN103366180A (en) | Cell image segmentation method based on automatic feature learning | |
CN111046917B (en) | Object-based enhanced target detection method based on deep neural network | |
CN109753996B (en) | Hyperspectral image classification method based on three-dimensional lightweight depth network | |
Xie et al. | Visualization and Pruning of SSD with the base network VGG16 | |
Nguyen et al. | Satellite image classification using convolutional learning | |
CN101667292B (en) | SAR image segmentation system and segmentation method based on immune clone and projection pursuit | |
CN110443296B (en) | Hyperspectral image classification-oriented data adaptive activation function learning method | |
CN104298977A (en) | Low-order representing human body behavior identification method based on irrelevance constraint |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20190225 Address after: 710000 Oak Constellation 1 Building 2 Unit 20301, North of Science and Technology Fifth Road, Xi'an High-tech Zone, Shaanxi Province Patentee after: Xi'an Xu Yao Network Technology Co.,Ltd. Address before: 710072 No. 127 Youyi West Road, Shaanxi, Xi'an Patentee before: Northwestern Polytechnical University |
|
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20190507 Address after: 710000 Unit 2, Unit 3, Building 5, No. 2, Hongpu South Road, Yanta District, Xi'an City, Shaanxi Province Patentee after: Zhao Feng Address before: 710000 Oak Constellation 1 Building 2 Unit 20301, North of Science and Technology Fifth Road, Xi'an High-tech Zone, Shaanxi Province Patentee before: Xi'an Xu Yao Network Technology Co.,Ltd. |
|
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20190917 Address after: 710075 Room 1005, Tongda International Building, 41 Tangyan Road, Xi'an High-tech Zone, Shaanxi Province Patentee after: Xi'an Anmeng Intelligent Technology Co.,Ltd. Address before: 710000 Unit 2, Unit 3, Building 5, No. 2, Hongpu South Road, Yanta District, Xi'an City, Shaanxi Province Patentee before: Zhao Feng |
|
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20221024 Address after: 710061 Room 1413, Floor 14, Building 3, West Yungu Phase II, Fengxi New Town, Xixian New District, Xi'an, Shaanxi Patentee after: Shaanxi Lingyidun Information Technology Co.,Ltd. Address before: 710075 Room 1005, Tongda International Building, 41 Tangyan Road, Xi'an High-tech Zone, Shaanxi Province Patentee before: Xi'an Anmeng Intelligent Technology Co.,Ltd. |
|
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20181130 |