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5篇 您的检索式:作者名="XIA Junshi"
    题名 作者 年代 出处 被引量
1Multiple Classifier System for Remote Sensing Image Classification: A Review显示文摘Du Peijun Xia Junshi Zhang Wei 2012Sensors2012,12,4:1
2A novel remote sensing image classification scheme based on data fusion, multiple features and ensemble learning显示文摘Du Peijun Chen Yu Xia Junshi 2013J Indian Soc Remote sensing2013,41,2:1
3Evaluation of the spatio-temporal pattern of urban ecological security using remote sensing and GIS显示文摘Peijun Du Junshi Xia Qian Du Yan Luo Kun Tan 2013International Journal of Remote Sensing2013,,3:1
4Fusion and Classification of Beijing-1 Small Satellite Remote Sensing Image for Land Cover Monitoring in Mining Area显示文摘In order to promote the application of Beijing-1 small satellite(BJ-1) remote sensing data,the multispectral and panchromatic images captured by BJ-1 were used for land cover classification in Pangzhuang Coal Mining.An improved Intensity-Hue-Saturation(IHS) fusion algorithm is proposed to fuse panchromatic and multispectral images,in which intensity component and panchromatic image are combined using the weights determined by edge pixels in the panchromatic image identified by grey absolute correlation degree.This improved IHS fusion algorithm outper-forms traditional IHS fusion method to a certain extent,evidenced by its ability in preserving spectral information and enhancing spatial details.Dempster-Shafer(D-S) evidence theory was adopted to combine the outputs of three member classifiers to generate the final classification map with higher accuracy than that by any individual classifier.Based on this study,we conclude that Beijing-1 small satellite remote sensing images are useful to monitor and analyze land cover change and ecological environment degradation in mining areas,and the proposed fusion algorithms at data and decision levels can integrate the advantages of multi-resolution images and multiple classifiers,improve the overall accuracy and produce a more reliable land cover map.DU Peijun YUAN Linshan XIA Junshi HE Jianguo 2011Chinese Geographical Science2011,21,6:1
5Data fusion in data scarce areas using a back-propagation artificial neural network model: a case study of the South China Sea显示文摘Zheng WANG Zhihua MAO Junshi XIA Peijun DU Liangliang SHI Haiqing HUANG Tianyu WANG Fang GONG Qiankun ZHU 2018Frontiers of Earth Science2018,12,2:0
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