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Evaluation of spatial upscaling methods based on remote sensing data with multiple spatial resolutions (EI CONFERENCE)

文献类型：会议论文

作者Ren R. ; Gu L. ; Cao J. ; Chen H. ; Sun J.
出版日期2012
会议名称Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012
会议地点San Diego, CA, United states
关键词In most applications of remote sensing data special spatial information is required from a finer to a coarser spatial resolution with appropriate upscaling methods. The purpose of this paper is to compare and evaluate current spatial upscaling methods using MODIS remote sensing data with multiple spatial resolutions. In the research Northeast China was selected as the study area. MODIS data with spatial resolutions of 250 m (2 bands) and 500 m (7 bands) were used as the test data. Through using the selected upscaling methods the Band 1 and Band 2 data of MODIS were scaled up from 250 m to 500 m spatial resolution. On the basis of land cover characteristics of Northeast China the MODIS data located in the study area was classified into the five land cover types including water grasslands forests farmlands and bare lands using maximum likelihood method. The land cover classification results were further compared with MODIS Land Cover Type product. Finally Structural Similarity (SSIM) was selected to evaluate the effects of these upscaling methods. The research can provide more useful information for spatial scaling transformation in remote sensing data applications. 2012 SPIE.
收录类别EI
源URL[http://ir.ciomp.ac.cn/handle/181722/34016]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式
GB/T 7714		 Ren R.,Gu L.,Cao J.,et al. Evaluation of spatial upscaling methods based on remote sensing data with multiple spatial resolutions (EI CONFERENCE)[C]. 见:Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012. San Diego, CA, United states.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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