Wang Run-Sheng
Remote Sensing Center
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Publication
Featured researches published by Wang Run-Sheng.
International Journal of Applied Earth Observation and Geoinformation | 2014
Cui Jing; Yan Bokun; Wang Run-Sheng; Tian Feng; Zhao Yingjun; Liu Dechang; Yang Su-Ming; Shen Wei
Abstract ASTER data have been widely and successfully used in lithological mapping and mineral exploration for decades. The errors due to atmospheric water vapor and the characteristics of the photoelectric sensor could lead to the anomalous characteristics of band 5 and 9 in the ASTER standard reflectivity product. These anomalies could result in the spectroscopic misidentification of minerals. This study proposed a simple method of atmospheric correction for converting radiance-at-sensor to ground reflectance. The ASTER VNIR/SWIR reflectance correction factor was derived to correct the spectral shape bias resulting from the radiometric calibration error using airborne hyperspectral CASI_SASI data. The ASTER VNIR/SWIR reflectance correction factor was derived to correct the spectral shape bias resulting from the radiometric calibration error. After applying the reflectance factor to the atmospheric-corrected ASTER L1B data, a band combination mapping method was proposed for identifying minerals more quickly and accurately. The results indicate that this method for atmospheric correction of ASTER data produces very good results in the arid and bare areas. It is still unknown whether the method is suitable for humid and rainy areas where atmospheric water vapor varies spatially more than in arid and bare areas. After applying the reflectance factor to the atmospheric-corrected ASTER L1B data, the mean error of all reflectance bands decreased from 0.0256 to 0.002, and the standard deviation decreased from 0.04251 to 0.0007. The errors of the 2/1, 5/6 and 9/8 band ratios decreased from 2.38%, 4.102%, and 4.28% to 1.26%, −0.162%, and 0.31%, respectively. The radiometric calibration error of the ASTER band 1–9 data can lead to the overestimation of kaolinite. A band index of 2/1 for retrieving Fe 3+ cannot produce a reliable Fe 3+ distribution map, and a new index should be developed.
Remote Sensing for Land & Resources | 2006
Wu Jia-min; Wang Run-Sheng; Yao Jian-hua
Archive | 2005
Gan Fuping; Zhou Qiang; Wang Run-Sheng
Archive | 2005
Gan Fuping; Wang Run-Sheng
Remote Sensing for Land & Resources | 2012
Liang Shu-neng; Gan Fuping; Yan Bokun; Wang Run-Sheng; Yang Su-Ming; Zhang Zhi-jun
Progress in geography | 2010
Zhou Ping; Wang Run-Sheng; Yan Bai-Kun; Yang Su-Ming; Wang Qing-Hua; Song Chuan-guang; Zhong Shao-yun; Du Guoyun; Jin Bing-fu; Wang Qing; Liu Yalong; Xu Qiang
Remote Sensing for Land & Resources | 2009
Zhang Zonggui; Wang Run-Sheng
Remote Sensing for Land & Resources | 2007
Wang Run-Sheng
Archive | 2013
Yan Baikun; Yang Su-Ming; Wang Run-Sheng
Remote Sensing for Land & Resources | 2011
Wang Run-Sheng; Yang Su-Ming; Bai Kun; Gong Jin-Zhong; Zhang Rui-Chun; Li Guang-Ping