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
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.
魏英娟, 郑雄伟, 雷兵, 甘宇航. 基于样本模型的高分一号遥感影像云雾自动提取[J]. 国土资源遥感, 2017, 29(s1): 39-45.
WEI Yingjuan, ZHENG Xiongwei, LEI Bing, GAN Yuhang. Realization of clouds automatic extraction of GF-1 remote sensing image based on sample model. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 39-45.
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2017, Vol. 29 
