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SPOT VEGETATION S10影像云和雪盖的检测与处理
引用本文:刘咏梅,王超,于冬. SPOT VEGETATION S10影像云和雪盖的检测与处理[J]. 水土保持通报, 2010, 30(2): 236-238
作者姓名:刘咏梅  王超  于冬
作者单位:西北大学,城市与环境学院,陕西,西安,710127
基金项目:黄土高原土壤侵蚀与旱地农业国家重点实验室基金,国家重点基础研究发展计划(973计划)项目,国家文物局文物保护科学和技术研究课题 
摘    要:
以整个中国区域为例,采用3种检测方法对Spot vegetation S10影像上存在的云和雪盖的检测结果进行了对比分析.结果表明,BISE检测器得到的云层和实际最为接近,用Spot vegetation状态地图得到的云层过少,而用Spot vegetation检测器V2.0得到的云和雪盖像素有部分重叠.最后利用云、雪盖像素在时间序列上的相邻像素进行平滑处理方法达到去云和雪盖的目的,研究结果对于Spot vegetation S10影像的噪音消除和应用精度的提高具有借鉴意义.

关 键 词:  雪盖  检测  去除
收稿时间:2009-10-21
修稿时间:2009-10-26

Cloud and Snow Detecting and Removing in SPOT VEGETATION Images
LIU Yong-mei,WANG Chao and YU Dong. Cloud and Snow Detecting and Removing in SPOT VEGETATION Images[J]. Bulletin of Soil and Water Conservation, 2010, 30(2): 236-238
Authors:LIU Yong-mei  WANG Chao  YU Dong
Abstract:
Taking China as the test area,the three kinds of methods for detecting the cloud and snow on Spot Vegetation S10 images are compared. According to the comparison,BISE is the best for detecting cloud among the three; the cloud extracted by the status map (SM) is too little; cloud and the ice and snow extracted by the detector V2.0 overlap each other. The averaging of timely neighboring (before and after the cloud pixels) cloudy (or ice and snow)-free pixels is adopted to remove cloud,ice,and snow. The result is valuable for noise reduction and application accuracy improvement of Spot Vegetation S10.
Keywords:SPOT VEGETATION
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