Exploration of Remote Sensing Image Processing method for Glacial Geomorphology Research


Zhao Shangmin Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences,Urumchi,Xinjiang,China,830011 Cheng Weiming LREIS,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China Chen Xi Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences,Urumchi,Xinjiang,China,830011


Taking Mt.Namjagbarwa region as an example,this paper explores a complete remote sensing image processing method for glacial geomorphology research.Based on the selection of Landsat7 ETM+ images,the remote sensing image processing method such as band selection,overlap,fusion,mosaic and so on is carried out.The result shows: ① right selection of remote sensing images and proper process based on the characteristics of research area and research purpose,not only reduce the process difficulty,but make a firm foundation for subsequent glacial geomorphology research;② according to the computation of correlation coefficient between fusion images and original multi-spectral images,panchromatic high resolution images,the result shows that the principle component transformation method has better effect than IHS transformation method in remote sensing image fusion process.


image process;glaical geomorphology;correlation coefficient;principle component transformation;IHS transformation


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Total: 7 articles

  • [1] XU Rongfeng , XU Hanqiu ( Department of Environment & Resources Engineering, Fuzhou University, Fuzhou, Fujian 350002, China), Evaluation on Image Fusion Algorithms of Landsat-7 ETM+ PAN Band and Multispectral Bands, Geo-information Science,
  • [2] ZHU Shu long 1,2 QIAN Zeng bo 1 (1 Department for Remote Sensing Information Engineering,Institute of Surveying and Mapping,The PLA University of Information Engineering,Zhengzhou,450052,China;2 LIESMARS of Wuhan University, Wuhan 430079,Ch, The Seam-line Removal under Mosaicking of Remotely Sensed Images, Journal of Remote Sensing,
  • [3] XU Han①②, YAN Qin②,XU Pan-lin③, FANG Rong-xin③(①Land Use Key Laboratory of the Ministry of Land and Resources P.R.C, Beijing 100035; ②Chinese Academy of Surveying and Mapping, Beijing 100039, China; ③Geoinformation Science & Engineering College, Shandong University of science and Technology, Qingdao 266510), A study of optimal bands selection and evaluation methods on performance of multi-source remote sensing image fusion, Science of Surveying and Mapping,
  • [4] XU Han-qiu ( College of Environment and Resources, Fuzhou University, Fuzhou 350002, China), Study on Data Fusion and Classification of Landsat 7 ETM + Imagery, Journal of Remote Sensing,


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