CN104794456A - Remote-sensing image building detecting method based on colors and shadows - Google Patents
Remote-sensing image building detecting method based on colors and shadows Download PDFInfo
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- CN104794456A CN104794456A CN201510221017.4A CN201510221017A CN104794456A CN 104794456 A CN104794456 A CN 104794456A CN 201510221017 A CN201510221017 A CN 201510221017A CN 104794456 A CN104794456 A CN 104794456A
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Abstract
The invention relates to a remote-sensing image building detecting method based on colors and shadows. The remote-sensing image building detecting method based on the colors and the shadows comprises the following steps of (1) extracting buildings with red roofs by using a color unchanging feature; (2) extracting shadow regions by using a shadow unchanging feature; (3) determining a sun illumination direction and estimating the positions of buildings without red roofs; and (4) fitting a region with the buildings without the red roofs by using a rectangle. The problem that in the traditional method of detecting buildings by using a shadow feature, priori knowledge of the solar illumination direction is required is solved, the detection accuracy and the detection efficiency of buildings are improved, and a complete automation effect is achieved.
Description
Technical field
The present invention relates to a kind of remote sensing image process field, is a kind of remote sensing image building detection method based on color and shade specifically.
Background technology
From remote sensing image, automatically extract man-made features quite complicated, within a very long time, people extract from remote sensing image that buildings pays attention to scientific research, have larger gap from practicality.In actual production, as remote sensing mapping production field, to identification, the extraction of building information, mainly by operator artificial cognition, artificial pointwise, to gather piecemeal, labour intensity is large, intricate operation, bad measurement repeatability, operating efficiency are low.Along with remote sensing image data amount increases, buildings upgrades pace of change to be accelerated, and urgently gets up gradually to the demand of remote sensing image intelligence interpretation system.Adopt automatic or semiautomatic fashion extraction building information, can greatly reduce data acquisition time, reply GIS data gathers difficult bottleneck; The problems such as artificial image data point finite sum subjective factor impact can be overcome simultaneously, improve the quality that GIS enters database data.
Summary of the invention
The invention provides a kind of remote sensing image building detection method based on color and shade, can estimate to shine upon direction and the position of accurate location buildings, without the need to the support in side information data storehouse, automaticity is high.
The technical scheme adopted for realizing target of the present invention is: method comprises the following steps:
Step 1: utilize color invariant features to extract region-of-interest to input multi-spectrum remote sensing image image1;
Step 2: utilize shade invariant features to extract shadow region to input multi-spectrum remote sensing image image1;
Step 3: utilize shade to determine to shine upon direction and estimate the position of the buildings on non-red roof;
Step 4: with the non-red roof building object area of rectangle fitting.
Described region-of-interest refers to the buildings on red roof.
Described color invariant features is defined by the red band R in input multi-spectrum remote sensing image image1 and green band G, and formula is as follows:
Can be obtained by formula, for the atural object of redness,
for on the occasion of, and with intensity have nothing to do, similarly, for the atural object of green,
for negative value, carry out Automatic thresholding by OTSU and split.
Described shade invariant features is defined by the blue wave band B in input multi-spectrum remote sensing image image1 and green band G, and formula is as follows:
Can be obtained by formula, for shadow region,
for on the occasion of, and with intensity have nothing to do, similarly, for the atural object of green,
for negative value, carry out Automatic thresholding by OTSU and split.
The method that described determination shines upon direction is: suppose to shine upon direction from buildings center directional phantom regional center, make buildings centre coordinate be (x
b, y
b), shadow region centre coordinate is (x
s, y
s), then the illumination direction theta of the sun is:
And determine the coordinate quadrant residing for θ by the nearly step of following formula:
The method of the position of the buildings on the non-red roof of described estimation adopts following formula:
x
e＝x
s+dcosθ
y
e＝y
s+dsinθ
Wherein, (x
e, y
e) centre coordinate of buildings for estimating, (x
s, y
s) centre coordinate of shadow region for extracting, θ is for shining upon direction, and d is average buildings size in image.
The described method by rectangle fitting construction zone is: choose adjacent with shadow region, along shining upon the buildings of the rectangular area on direction as non-red roof.
The invention has the beneficial effects as follows: solve in classic method the problem utilizing shadow character detection buildings to need to shine upon the priori in direction, be conducive to the accuracy and efficiency improving buildings detection, reach full automatic effect.
Accompanying drawing explanation
Fig. 1 is overall process flow figure of the present invention.
Embodiment
The specific embodiment of the present invention is described in detail below in conjunction with accompanying drawing.
In step 101, the pending remote sensing image of input is Quick bird multispectral image, is of a size of 1000 × 1000, and carries out the pre-service such as radiant correction and geometry correction.
In step 102, utilize color invariant features to be defined by the red band R in input multi-spectrum remote sensing image image1 and green band G, formula is as follows:
Carry out Automatic thresholding by OTSU and split, extracting the buildings on red roof, be designated as B
red.
In step 103, utilize shade invariant features to be defined by the blue wave band B in input multi-spectrum remote sensing image image1 and green band G, formula is as follows:
Carry out Automatic thresholding by OTSU and split, extracting shadow region, be designated as SH.
In step 104, according to the building B on the red roof extracted in step 102
redshadow region SH with extracting in step 103, supposes to shine upon direction from buildings center directional phantom regional center, makes the building B on red roof
redcentre coordinate is (x
b, y
b), shadow region SH centre coordinate is (x
s, y
s), then the illumination direction theta of the sun is:
And determine the coordinate quadrant residing for θ by the nearly step of following formula:
In step 105, the computing method for the position of the buildings on the non-red roof in the pending remote sensing image of input adopt following formula:
x
e＝x
s+dcosθ
y
e＝y
s+dsinθ
Wherein, (x
e, y
e) centre coordinate of buildings for estimating, (x
s, y
s) centre coordinate of shadow region SH for extracting in step 103, θ be calculate in step 104 shine upon direction, d is average buildings size in image, and value is 50.
In step 106, choose adjacent with shadow region, along the rectangular area shined upon on direction as non-red roof building thing B
nred.
In step 107, the red roof building thing B extracted in combining step 102
redwith the non-red roof building thing B that step 106 is extracted
nredexport as the owned building object detected.
Claims (7)
1., based on a remote sensing image building detection method for color and shade, it is characterized in that comprising the following steps:
Step 1: utilize color invariant features to extract region-of-interest to input multi-spectrum remote sensing image image1;
Step 2: utilize shade invariant features to extract shadow region to input multi-spectrum remote sensing image image1;
Step 3: utilize shade to determine to shine upon direction and estimate the position of the buildings on non-red roof;
Step 4: with the non-red roof building object area of rectangle fitting.
2. a kind of remote sensing image building detection method based on color and shade according to claim 1, is characterized in that region-of-interest refers to the buildings on red roof.
3. a kind of remote sensing image building detection method based on color and shade according to claim 1, it is characterized in that color invariant features is defined by the red band R in input multi-spectrum remote sensing image image1 and green band G, formula is as follows:
Can be obtained by formula, for the atural object of redness,
for on the occasion of, and with intensity have nothing to do, similarly, for the atural object of green,
for negative value, carry out Automatic thresholding by OTSU and split.
4. a kind of remote sensing image building detection method based on color and shade according to claim 1, it is characterized in that shade invariant features is defined by the blue wave band B in input multi-spectrum remote sensing image image1 and green band G, formula is as follows:
Can be obtained by formula, for shadow region,
for on the occasion of, and with intensity have nothing to do, similarly, for the atural object of green,
for negative value, carry out Automatic thresholding by OTSU and split.
5. a kind of remote sensing image building detection method based on color and shade according to claim 1, it is characterized in that the method determining to shine upon direction is: suppose to shine upon direction from buildings center directional phantom regional center, make buildings centre coordinate be (x
b, y
b), shadow region centre coordinate is (x
s, y
s), then the illumination direction theta of the sun is:
And determine the coordinate quadrant residing for θ by the nearly step of following formula:
6. a kind of remote sensing image building detection method based on color and shade according to claim 1, is characterized in that the method for the position of the buildings estimating non-red roof adopts following formula:
x
e＝x
s+dcosθ
y
e＝y
s+dsinθ
Wherein, (x
e, y
e) centre coordinate of buildings for estimating, (x
s, y
s) centre coordinate of shadow region for extracting, θ is for shining upon direction, and d is average buildings size in image.
7. a kind of remote sensing image building detection method based on color and shade according to claim 1, it is characterized in that by the method for rectangle fitting construction zone be: choose adjacent with shadow region, along shining upon the buildings of the rectangular area on direction as non-red roof.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105761250A (en) * | 2016-02-01 | 2016-07-13 | 福建师范大学 | Building extraction method based on fuzzy scene segmentation |
Citations (2)
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|---|---|---|---|---|
| CN103279951A (en) * | 2013-05-13 | 2013-09-04 | 武汉理工大学 | Object-oriented remote sensing image building and shade extraction method of remote sensing image building |
| US8577170B2 (en) * | 2011-09-15 | 2013-11-05 | Microsoft Corporation | Shadow detection in a single image |
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2015
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8577170B2 (en) * | 2011-09-15 | 2013-11-05 | Microsoft Corporation | Shadow detection in a single image |
| CN103279951A (en) * | 2013-05-13 | 2013-09-04 | 武汉理工大学 | Object-oriented remote sensing image building and shade extraction method of remote sensing image building |
Non-Patent Citations (2)
| Title |
|---|
| 刘小洲等: "高分辨率遥感图像中建筑物阴影的提取", 《计算机仿真》 * |
| 徐秋红等: "一种基于颜色恒常性理论的城市高分辨率遥感影像阴影消除方法", 《理论研究》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105761250A (en) * | 2016-02-01 | 2016-07-13 | 福建师范大学 | Building extraction method based on fuzzy scene segmentation |
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