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长春光学精密机械与物... [1]
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会议论文 [1]
发表日期
2012 [1]
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Evaluation of spatial upscaling methods based on remote sensing data with multiple spatial resolutions (EI CONFERENCE)
会议论文
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.
;
Gu L.
;
Cao J.
;
Chen H.
;
Sun J.
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提交时间:2013/03/25
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.
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