【摘要】 利用FY-1D极轨气象卫星全球数据(GDPT)4个通道资料选取了北极冰雪样本2 366个、云2024个,陆地1 602个,水体1 648个,分析各类别的光谱特征和纹理特征,利用光谱特征从图像上识别出陆地、水体和部分云,根据冰雪和云纹理特征不同用贝叶斯判别方法建立类别判别函数进一步对北极冰雪与云进行分类,然后通过5 d合成,得到北极地区完整的冰雪覆盖范围。所得结果与NOAA/NESD IS的IMS提供的北半球日积雪产品检验分类结果相比较,一致率达到70%以上。更多还原

【Abstract】 Chinese meteorological satellite FY-1D acquires global data through four spectral channels which include visible and infrared channels.2 366 snow and ice samples,2 024 cloud samples,1 602 land samples and 1 648 water body samples were selected randomly from arctic imageries.Land,water and some clouds can be detected by spectral features.Snow-ice and cloud can be further classified by a Bayes classifier based on textural features.By synthesizing five days class result of arctic snow and ice cover area,we can get complete arctic snow and ice cover area.The result agrees with the NOAA/NESDIS IMS products up to 70%.更多还原