AN ANALYSIS OF ATMOSPHERIC CORRECTION IN MINERAL IDENTIFICATION USING IMAGING SPECTROMETER

doi:10.6046/gtzyyg.2007.04.21

Download: PDF(1186 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Atmospheric effect is one of the important factors affecting the results of mineral identification and mineral mapping in the application of imaging spectra. By means of theoretical analyses and comparative experiments, this paper has investigated the effect of atmosphere on mineral identification and mineral mapping. The results of atmospheric correction using different methods have been compared and discussed.

TP79

Issue Date: 23 July 2009

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

YANG Su-Ming, WANG Run-Sheng, LIU Sherng-Wei. AN ANALYSIS OF ATMOSPHERIC CORRECTION IN MINERAL IDENTIFICATION USING IMAGING SPECTROMETER[J]. REMOTE SENSING FOR LAND & RESOURCES,2007, 19(4): 95-99.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2007.04.21 OR https://www.gtzyyg.com/EN/Y2007/V19/I4/95

[1]	LIU Ju, LIAO Jing-juan, SHEN Guo-zhuang. Retrieval of Wetland Vegetation Biomass in Poyang Lake Based on Quad-polarization Image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 38-43.
[2]	GAN Fu-Ping, YOU Shu-Cheng, QIU Zhen-Ge, YU Hai-Yang. THE SATELLITE REMOTE SENSING EVALUATION SYSTEM FOR LAND AND RESOURCES[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(1): 7-12.
[3]	GAN Fu-Ping, YU Hai-Yang, WANG Yong-Jiang, ZHANG Chun-Ling. THE EVALUATION OF APPLYING CBERS—02B SIMULATED DATA TO GEOLOGICAL RESOURCE SURVEY[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(1): 30-33.
[4]	WANG Zhi-Hua, XU Qi-De, XU Bin. THE TYPICAL APPLICATION OF CBERS-02B DATA FOR GEOLOGICAL DISASTERS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(1): 86-88.
[5]	JING Feng, SHEN Xu-Hui, HONG Shun-Ying, OU Yang-Xin-Yan. THE APPLICATION OF REMOTE SENSING TECHNOLOGY TO EARTHQUAKE SCIENCE RESEARCH[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 5-8.
[6]	ZHENG Xin-Jiang, CHEN Wei-Min, FANG Xiang, LUO Jing-Ning. A METHOD FOR ESTIMATING THE AMOUNT OF AIR BORNE SAND OVER THE LAND[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 35-38.
[7]	LI Jun-Jie, LI Xing-Chao, FU Qiao-Yan, HUANG Shi-Cun, WANG Qi. FUSION AND EVALUATION OF CBERS-02B HR AND MULTI-SPECTRAL IMAGES[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 43-47.
[8]	CHEN Feng, HE Bao-Yin, LONG Zhan-Yong, YANG Xiao-Qin. A SPATIAL ANALYSIS OF URBAN HEAT ISLAND AND UNDERLYING SURFACE USING LANDSAT ETM+[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 56-61.
[9]	CHEN Jian, NI Shao-Xiang, LI Yun-Mei. LAI RETRIEVAL OF REED CANOPY USING NEURAL NETWORK METHODS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 62-67.
[10]	LI Xin-Wu, ZHAO Tian-Jie, ZHANG Li-Xin. SIMULATION AND ANALYSIS OF BACKSCATTERING CHARACTERISTICS AND TYPE RECOGNITION OF CROPS BASED ON DUAL-FREQUENCY AND MULTI-POLARIZATION SAR DATA[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 68-73.
[11]	NIU Ting, LI Xia. A REMOTE SENSING MODEL FOR VEGETATION RESTORATION IN THE LOWER VALLEY OF THE TARIM RIVER[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 79-83.
[12]	PAN Jing-Hu, LIU Pu-Xing. AN ANALYSIS OF TEMPORAL-SPATIAL FEATURES OFLAND USE AND LANDSCAPE PATTERN IN THELOWER REACHES OF THE HEIHE RIVER PAN Jing-hu，LIU Pu-xing[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 84-87.
[13]	YAN Rui, ZHANG Jing-Fa, JIANG Wen-Liang, JIAO Meng-Mei. THE INTERPRETATION OF FAULTS IN HANGJINQI AREA OF ORDOS BASIN USING MULTI-SOURCE RS IMAGES[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 88-91.
[14]	YUAN Lin-Shan, DU Pei-Jun, ZHANG Hua-Peng, ZHANG Hai-Rong. CBERS IMAGERY CLASSIFICATION BASED ONDECISION TREE AND DERFORMANCE ANALYSIS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 92-98.
[15]	ZHENG Rong-Bao, ZHUANG Jian-Shun, ZHANG Jin-Qian. THE RELATIONSHIP BETWEEN NDVI CHANGE ANDLAND USE IN GUANGZHOU CITY[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 102-108.

Viewed

Full text

Abstract

Cited

Shared

Discussed