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 快速、准确地判别滑坡灾害范围对灾情评估与救灾指挥至关重要。将高分辨率航空影像和机载LiDAR数据相结合,能充分利用滑坡体的光谱特征、几何形态与空间结构特征,提高滑坡识别的准确度。该文以海地地震诱发的滑坡识别为例,介绍了面向对象的滑坡识别思路及方法;针对海地滑坡灾害特点,选择了相应的灾害特征,并经反复试验设定了特征参数阈值;针对面向对象分类过程中特征组合与选择这一瓶颈问题,以河流沉积物和滑坡判别为例,通过特征组合试验与对比分析,发现基于NDVI与坡度特征组合的分类结果明显优于单一特征及其它组合模式的分类结果。与最大似然分类法相比,该方法的分类结果更为准确、精度更高。 更多还原

【Abstract】 An earthquake measuring 7.0 struck southern Haiti on 12 January,2010,causing tremendous damage in the Port-au-Prince area and in southern Haiti,killing or injuring thousands of people and knocking down a large number of buildings,as well as quantities of landslides.Fast and reliable detection of earthquake-induced landslides is crucial for disaster reduction and emergency management to limit life losses and properties.Integration of aerial images and LiDAR data is capable of utilizing sufficient...