【摘要】 以汶川地震后受灾严重的北川县城为研究区域,应用面向对象的遥感分类方法,对福卫二号卫星多光谱影像进行灾害提取与分析。提取过程中在传统分类运用的光谱信息中加入影像地物的几何结构和纹理信息,运用多尺度分割、多层次交叉的地物分类模式,模拟人类思维,快速准确的提取了灾害区域的宏观受灾范围,为震后快速评估提供依据。更多还原

【Abstract】 Beichuan County and its surrounding area where were severely damaged were chosen as the study area. And the object-oriented remote sensing data classification method was used to extract the damage area from the multi-spectral data of Formosat-2. During the extraction, we added geometric structure and texture information into the spectral information was the only information used in the pixel-based classification, and applied multi-resolution segmentation and multi-level crossing mode to simulate visual interpretation, and adopted fuzzy-logic classification method to accomplish the effective detection.更多还原