Virtual Satellite Construction and Application for Image Classification

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Su, W.G.^1,2,3 ; Su, F.Z.^2 ; Zhou, C.H.^2

Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS), Yantai Shandong 264003, China^1

LREIS, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China^2

University of Chinese Academy of Sciences, Beijing 100049, China^3

关键词: Classification accuracy;    Classification results;    Optical remote sensing;    Remote sensing image classification;    Satellite remote sensing data;    Spectral differences;    Spectral signature;    Water informations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012084/pdf
DOI  :  10.1088/1755-1315/17/1/012084

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Nowadays, most remote sensing image classification uses single satellite remote sensing data, so the number of bands and band spectral width is consistent. In addition, observed phenomenon such as land cover have the same spectral signature, which causes the classification accuracy to decrease as different data have unique characteristic. Therefore, this paper analyzes different optical remote sensing satellites, comparing the spectral differences and proposes the ideas and methods to build a virtual satellite. This article illustrates the research on the TM, HJ-1 and MODIS data. We obtained the virtual band X0through these satellites' bands combined it with the 4 bands of a TM image to build a virtual satellite with five bands. Based on this, we used these data for image classification. The experimental results showed that the virtual satellite classification results of building land and water information were superior to the HJ-1 and TM data respectively.