Urban boundary extraction method fusing multispectral remote sensing data and night light remote sensing data
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A technology of remote sensing data and night lights, applied in image data processing, character and pattern recognition, instruments, etc., can solve the problem of not being able to extract city boundaries quickly and accurately
Active Publication Date: 2016-06-22
CENT SOUTH UNIV
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[0003] The present invention proposes a city boundary extraction method that integrates multi-spectral remote sensing data and night light remote sensing data. This kind of feature, in order to achieve rapid and automatic extraction of city boundaries, improve the accuracy of city boundaries, and reduce the effect of false extraction rate
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Embodiment 1
[0092] Embodiment 1: process schematic diagram sees figure 2 .
[0093] (1) Image preprocessing
[0094] right figure 2 (a) and (b), use ENVI software to transform the multispectral remote sensing images and nighttime light remote sensing images into UTM projected coordinate system, and resample the nighttime light remote sensing images to 30 meters, as figure 2 (c) shown.
[0095] (2) Impervious Surface Extraction
[0096] After the multispectral remote sensing image is processed in step 1, the impermeable surface can be extracted. The extraction process is as follows:
[0097] ① Use ENVI software to perform radiometric correction on the multi-spectral remote sensing image, and convert the DN value on the image into reflectance;
[0098] ② Calculate the normalized difference water index MNDWI, the calculation formula is:
[0099] M N D W I = G r e ...
Embodiment 2
[0123] Embodiment 2: process schematic diagram sees image 3 .
[0124] Its processing step is identical with embodiment 1, and final result figure is as follows image 3 (g) shown.
[0125] The test results of Example 1 and Example 2 are all marked in the figure by solid lines.
[0126] It can be seen that the overall detection effect of the present invention is ideal. In addition, the existing technology (references: XiaoP, WangX, FengX, et al. Detecting China's Urban Expansion Over the Past Three Decades Using Nighttime Light Data [J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2014, 7 (10): 4095-4106.) detection results ( figure 2 (h), image 3 (h)) and the results of the present invention ( figure 2 (g), image 3 (g)) for contrast, by statistical correct rate, error rate and kappa coefficient, comparative analysis the present invention is with the advantage of prior art, statistical result sees the following table:
[0127] Em...
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Abstract
The present invention discloses an urban boundary extraction method fusing multispectral remote sensing data and night light remote sensing data. The method is able to accurately locate the urban boundary through combination of impervious surface indexes and light indexes extracted from the night light remote sensing data, so that the extraction mistake phenomenon is reduced. Besides, through fusion of multispectral remote sensing data having higher spatial resolution than the night light remote sensing data, the method is configured to take two data features as different features of an urban area and a non-urban area so as to ensure that extracted urban boundary is more fine than the urban boundary located by independently using the night light remote sensing data. A lot of experiment results show that the correct extraction rate of the urban boundary is over 90% and is raised about 10% compared with the prior art, and the extraction mistake rate of the urban boundary is reduced below 10%. The urban boundary extraction method fusing multispectral remote sensing data and night light remote sensing data solves the problems in the prior art, and is suitable for urban remote sensing application such as land planning, geography national condition monitoring, urban expansion analysis and the like.
Description
technical field [0001] The invention belongs to the field of urban planning, in particular to a method for extracting city boundaries by fusing multispectral remote sensing data and night light remote sensing data. Background technique [0002] The automatic extraction of city boundaries is the key to grasping the extent of urban expansion in time, and the extent of urban expansion has become a key concern in the field of urban planning. At the same time, the rapid and automatic extraction of city boundaries can reduce the manpower and material resources of traditional monitoring methods. However, when the resolution of remote sensing images is not high enough, the automatic extraction method is easy to mistakenly classify some ground objects into the city boundary. Therefore, the extraction of city boundaries from medium and low resolution remote sensing images is more challenging. At present, the newer and better urban boundary extraction methods are based on remote sensi...
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