An urban entity boundary identification method integrating surface temperature and building index
A surface temperature and boundary recognition technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as mis-extraction of non-urban impermeable surfaces, low resolution of remote sensing lights at night, errors in urban boundary recognition results, etc., to achieve correct High efficiency and simple operation
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[0055] Such as figure 1 As shown, a method for identifying the boundaries of urban built-up areas that combines surface temperature and building indices includes the following steps:
[0056] Step 1: Image preprocessing
[0057] It mainly includes radiometric calibration, atmospheric correction, frame mosaic, image cropping, etc. The atmospheric correction adopts FLAASH atmospheric correction.
[0058] Step 2: Inversion of surface temperature
[0059] Construct the LST inversion model of the surface temperature, and use the single-window algorithm to calculate the surface temperature
[0060] LST={a(1-C-D)+[b(1-C-D)+C+D]T senor -DT a} / C
[0061] LST is the surface temperature; a and b are constants, a=-67.3554, b=0.45861; T senor is the brightness temperature, Ta is the average atmospheric temperature C=ετ;, D=(1-τ)[1+(1-ε)τ], ε is the surface emissivity, and τ is the atmospheric transmittance.
[0062] Step 2.1: Calculate the brightness temperature T senor
[0063] L ...
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