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Realization of clouds automatic extraction of GF-1 remote sensing image based on sample model |
| WEI Yingjuan1, ZHENG Xiongwei1, LEI Bing2, GAN Yuhang2 |
1. China Areo Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;
2. Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, China |
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Abstract A cloud extraction algorithm based on sample model is proposed to solve the problem of automatic recognition of multi - spectral and panchromatic of GF-1 satellite images. Firstly, the samples under the multiple conditions are collected to construct the cloud sample library, and the feature samples of the samples based on the gray features, fractal geometry and the difference histogram and discrete wavelet transform are extracted to classify the samples. Then, based on the classifier, the fast image of the image to be detected is extracted and compressed according to the corresponding feature vector, and the trained classifier is input to judge and complete the cloud snow fog recognition and extraction. The experimental results show that this method is an effective method for automatic extraction of clouds of GF-1 remote sensing images.
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| Keywords
domestic satellite
wetlands
monitor
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Issue Date: 24 November 2017
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2017,
Vol. 29
