Automatic collecting method of high-resolution satellite remote sensing traffic flow information
A high-resolution, satellite remote sensing technology, applied in traffic flow detection, neural learning methods, instruments, etc., can solve the problems of complex calculation and low time efficiency, achieve high degree of automation, improve time efficiency, avoid subjectivity and threshold The effect of iteratively adjusted complexity
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[0063] The present invention will be described in further detail below in conjunction with accompanying drawing and specific implementation case (such as figure 1 shown).
[0064] A method for automatically collecting high-resolution satellite remote sensing traffic flow information includes the following steps.
[0065] 1. Preprocessing 101:
[0066] In order to extract useful information from satellite remote sensing images, it is necessary to preprocess the input high-resolution satellite images1. The preprocessing included in the present invention includes: registration 1011 of panchromatic image and vector road network and panchromatic and multi-spectral image, road area segmentation 1012, bilateral filter image enhancement 1013. These three tasks deal with high-resolution panchromatic images and multispectral images (such as Quickbird) acquired by the same high-resolution remote sensing satellite platform at a certain time difference (greater than 0.2 seconds).
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