Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Wang Run-Sheng is active.

Publication


Featured researches published by Wang Run-Sheng.


International Journal of Applied Earth Observation and Geoinformation | 2014

Regional-scale mineral mapping using ASTER VNIR/SWIR data and validation of reflectance and mineral map products using airborne hyperspectral CASI/SASI data

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

REMOTE SENSING MONITORING AND STUDY ON THE CHANGE OF THE YELLOW RIVER COURSE IN YINCHUAN PLAIN SECTOR

Wu Jia-min; Wang Run-Sheng; Yao Jian-hua


Archive | 2005

High spectrum multiple end element linear fitting mineral identification and mineralizing indication method

Gan Fuping; Zhou Qiang; Wang Run-Sheng


Archive | 2005

High spectrum minerals maximum correlation identification method based on spectrum hybrid composition

Gan Fuping; Wang Run-Sheng


Remote Sensing for Land & Resources | 2012

Accuracy Analysis and Validation of ZY-3’s Sensor Corrected Products

Liang Shu-neng; Gan Fuping; Yan Bokun; Wang Run-Sheng; Yang Su-Ming; Zhang Zhi-jun


Progress in geography | 2010

Extr action of Soil Organic Matter Information by Hyper spectr al Remote Sensing

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

A SPATIAL ANALYSIS OF URBAN HEAT ISLAND AND UNDERLYING SURFACE USING LANDSAT ETM

Zhang Zonggui; Wang Run-Sheng


Remote Sensing for Land & Resources | 2007

THE APPLICATION OF THE HYPERSPECTRAL IMAGING TECHNIQUE TO GEOLOGICAL INVESTIGATION

Wang Run-Sheng


Archive | 2013

Large-batch automatic hyperspectral remote sensing mineral mapping method

Yan Baikun; Yang Su-Ming; Wang Run-Sheng


Remote Sensing for Land & Resources | 2011

THE ANALYSIS OF THE STRUCTURE BACKGROUND FOR MENYUAN EARTHQUAKE WITH REMOTE SENSING METHOD IN QINGHAI PROVINCE

Wang Run-Sheng; Yang Su-Ming; Bai Kun; Gong Jin-Zhong; Zhang Rui-Chun; Li Guang-Ping

Collaboration


Dive into the Wang Run-Sheng's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Yan Bokun

Remote Sensing Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge