【摘要】 本文以 1998年鄱阳湖地区发生洪涝灾害为研究实例 ,应用灾中的 Radarsat- SAR和灾前的 TM数据 ,以不规则三角网 ( TIN)方法实现了高精度几何配准。然后 ,通过波段相关性和信息熵值分析 ,选取最佳波段。最后 ,对不同融合模型得出的图像进行对比 ,得出结论 :以灾中的 SAR和灾前 TM的一个近红外 ( TM5或 TM7)以及一个可见光波段 ( TM3最佳 ) ,分别赋 RGB色合成的图像效果很好 ,既能识别区分洪涝淹没的绝产区、土壤滞水减产区和未受灾区 ,并且操作简便 ,能满足洪涝灾情快速反应要求。更多还原

【Abstract】 This paper takes Poyang Lake where the famous 98’s catastrophic flood happened in 1998 as an example. With available data of a during-flood SAR image and one pre-flood TM image, an approach named TIN (Triangulated Irregular Network) was used for registration, with better accuracy than other general methods. Then according to statistic analysis including interband correlation and entropy, etc. the selection of the optimal bands of TM was discussed. Finally, in order to monitor flood better and more quickly, various fusion approaches were applied and compared based on time-consuming operations. As a result, the pseudocolor composition of SAR, one near infrared TM band (TM5 or TM7) and one visible TM band (TM3 is optimal) is the best, which not only can make us easily identify flood extend area, soil area full of water content and non-flood area from each other, but also is simple and less time-consuming. It will meet the need of rapid response to flood.更多还原