Full-automatic method for precisely extracting regional impervious surface remote sensing information
A technology of information extraction and automatic extraction, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of lack of method automation and refinement, and achieve the effects of stable extraction accuracy, stable algorithm, and accurate information calculation
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[0030]In the past, the impervious surface information extraction method including hybrid spectral decomposition and machine learning did not take the impervious surface area (ISA) extraction as a separate step, but directly solved the impervious surface coverage (ISP) in the entire image range , the disadvantage of this method is that the ISP value calculated by the model will also appear in some positions where there is no impermeable surface, and the existence of spectral confusion is also a problem that has always existed in this method. Therefore, the present invention first automatically extracts the ISA range from the remote sensing image, and then performs sub-pixel-level ISP calculation based on the sample library, which improves the stability and flexibility of the entire extraction process, and can effectively improve the operation of the algorithm. Efficiency, methods and technical processes such as figure 2 .
[0031] ISA range extraction is actually a binary cla...
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