Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    1993, Vol. 5 Issue (1) : 1-7     DOI: 10.6046/gtzyyg.1993.01.01
Review |
Download: PDF(637 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Keywords  Oil and gas      Hyperspectral remote sensing      Spectral character      Information identification      Spectral angle      Qaidam     
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
WANG Xiang-Cheng
TIAN Qing-Jiu
GUAN Zhong
WANG Zheng-Cheng
Cite this article:   
WANG Xiang-Cheng,TIAN Qing-Jiu,GUAN Zhong, et al. [J]. REMOTE SENSING FOR LAND & RESOURCES, 1993, 5(1): 1-7.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.1993.01.01     OR     https://www.gtzyyg.com/EN/Y1993/V5/I1/1
[1] WANG Qian, REN Guangli. Application of hyperspectral remote sensing data-based anomaly extraction in copper-gold prospecting in the Solake area in the Altyn metallogenic belt, Xinjiang[J]. Remote Sensing for Natural Resources, 2022, 34(1): 277-285.
[2] GAO Wenlong, ZHANG Shengwei, LIN Xi, LUO Meng, REN Zhaoyi. The remote sensing-based estimation and spatial-temporal dynamic analysis of SOM in coal mining[J]. Remote Sensing for Natural Resources, 2021, 33(4): 235-242.
[3] DU Cheng, LI Delin, LI Genjun, YANG Xuesong. Application and exploration of dissolved oxygen inversion of plateau salt lakes based on spectral characteristics[J]. Remote Sensing for Natural Resources, 2021, 33(3): 246-252.
[4] JIANG Yanan, ZHANG Xin, ZHANG Chunlei, ZHONG Chengcheng, ZHAO Junfang. Classification of remote sensing images based on multi-scale feature fusion using local binary patterns[J]. Remote Sensing for Natural Resources, 2021, 33(3): 36-44.
[5] ZANG Chuankai, SHEN Fang, YANG Zhengdong. Aquatic environmental monitoring of inland waters based on UAV hyperspectral remote sensing[J]. Remote Sensing for Natural Resources, 2021, 33(3): 45-53.
[6] HU Xinyu, XU Zhanghua, CHEN Wenhui, CHEN Qiuxia, WANG Lin, LIU Hui, LIU Zhicai. Construction and application effect of normalized shadow vegetation index NSVI based on PROBA/CHRIS image[J]. Remote Sensing for Land & Resources, 2021, 33(2): 55-65.
[7] LI Genjun, YANG Xuesong, ZHANG Xing, LI Xiaomin, LI Delin, DU Cheng. Application and analysis of ZY1-02D hyperspectral data in geological and mineral survey[J]. Remote Sensing for Land & Resources, 2021, 33(2): 134-140.
[8] WANG Ruijun, ZHANG Chunlei, SUN Yongbin, WANG Shen, DONG Shuangfa, WANG Yongjun, YAN Bokun. Application of hyperspectral spectroscopy to constructing polymetallic prospecting model in Hongshan, Gansu Province[J]. Remote Sensing for Land & Resources, 2020, 32(3): 222-231.
[9] Qinglin TIAN, Wei PAN, Yao LI, Chuan ZHANG, Xuejiao CHEN, Zhangfa YU. Extraction of alteration information from hyperspectral core imaging based on wavelet packet transform and weight spectral angle mapper[J]. Remote Sensing for Land & Resources, 2019, 31(4): 41-46.
[10] Donghui ZHANG, Yingjun ZHAO, Kai QIN. Design and construction of the typical ground target spectral information system[J]. Remote Sensing for Land & Resources, 2018, 30(4): 206-211.
[11] Wanjun LIU, Tianhui LI, Haicheng QU. Hyperspectral similar sample classification algorithm based on Fisher criterion and TrAdaboost[J]. Remote Sensing for Land & Resources, 2018, 30(4): 41-48.
[12] Jing CUI, Xinfeng DONG, Rui DING, Shimin ZHANG, Conghe WANG, Hengxin LU, Yanyun SUN. Stratigraphic division of loess along loess profile based on hyperspectral remote sensing[J]. Remote Sensing for Land & Resources, 2018, 30(2): 202-207.
[13] SUN Xiaofang. Urban features classification based on objects segmentation and hyperspectral characteristics[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 171-175.
[14] REN Guangli, YANG Min, LI Jianqiang, GAO Ting, LIANG Nan, YI Huan, YANG Junlu. Application of hyperspectral alteration information to gold prospecting: A case study of Fangshankou area,Beishan[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 182-190.
[15] SU Hongjun, LIU Hao. A novel dynamic classifier selection algorithm using spatial-spectral information for hyperspectral classification[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 15-21.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech