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作 者:李天祺[1] 朱秀芳[1] 潘耀忠[1] 刘宪锋[1] 陈抒晨[1]
机构地区:[1]北京师范大学地表过程与资源生态国家重点实验室,资源学院,北京100875
出 处:《遥感技术与应用》2016年第1期157-164,共8页Remote Sensing Technology and Application
基 金:国家“高分辨率对地观测系统”重大专项(02-Y30B06-9001-13115)资助
摘 要:准确提取农村居民点用地规模及分布,对合理利用土地资源、改善农村生态环境及促进城市化发展具有重要意义。根据农村居民点用地的POLSAR散射特性及光谱特征,提出一种基于POLSAR极化散射特征与光学归一化差异指数的农村居民点用地提取方法,并结合实验分析了POLSAR极化相关系数在区分农村居民点用地与林地的不适用性。所述方法可有效解决单一数据源在农村居民点用地提取中裸地(光学数据)、林地(POLSAR数据)与农村居民点用地混分的问题,精确提取农村居民点用地(用户精度为91.7%,制图精度为95.2%,总体精度为95.9%)。相比基于POLSAR极化目标分解的H/α/Wishart迭代分类,该方法用户精度提高了34.9%,制图精度提高了14.4%,总体精度提高了16.2%;相比基于归一化植被指数和归一化建筑指数的监督分类,本文的用户精度提高了24.3%。Accurately acquiring rural residential land is significant for rational utilization of land resources,improvement of the rural ecological environment and acceleration of urbanization. According to polarization scatting characteristic and spectral property of rural residential land,this paper proposed a method for extracting rural residential land based on polarization scatting characteristics of POLSAR and normalized difference index of optical images. This paper analyzed the inapplicability of polarimetric correlation parameters in distinguishing between rural residential land and artificial forests by experiments. The proposed method in this poper can extract rural residential land precisely,with 91.7 % in user accuracy and 95.2 % in producer accuracy. Compared with the H/a/Wishart iterative classification,the user accuracy and producer accuracy of our method improved 34.9% and 14.4% ,and the overall accuracy improved 16.2 %. Compared with the supervised classification based on NDVI and NDBI,the user accuracy of our method improved 24.3 %.
关 键 词:农村居民点用地提取 POLSAR 极化目标分解 归一化差异指数
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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