Automatic cloud detection method for satellite remote sensing images
A satellite remote sensing image and cloud detection technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of complex methods and low detection accuracy, and achieve the effects of simple methods, high detection accuracy, and accurate results
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[0029] refer to figure 1 , an automatic cloud detection method for satellite remote sensing images, comprising the following steps:
[0030] S1. Calibrate the multispectral data as the apparent reflectance of the atmosphere, calibrate the thermal infrared data as the brightness temperature, and calibrate the cirrus band as the apparent reflectance of the atmosphere TOA;
[0031] S2. Utilize the cloud detection tool to classify the image, identify the pixels of clouds and shadows as MaskedPixels, and render them as dark gray;
[0032] S3. Use the middle-resolution M-Band data of the two scenes of NNPVIIRS to mosaic to obtain a mosaic-processed picture;
[0033] S4, carry out cloud detection to this data and obtain cloud mask file, use Bandmath tool to obtain anti-mask file;
[0034] S5. Use the Fmask algorithm to automatically detect cloud areas from multispectral data, remove invalid areas during data processing, and input anti-mask files during classification to avoid inter...
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