GEOLOGICAL STUDY OF REMOTE SENSING TECHNIQUE IN DEERBUGAN FOREST AND MARSHLAND AREA, INNER MONGOLIA

doi:10.6046/gtzyyg.2002.02.07

Download: PDF(486 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Remote sensing technique has been used in geological study of Deerbugan forest and marshland area, Inner Mongolia. Regional tectonic and metallogenic regularity has been studied in detail on the basis of geological analysis of suitable remote sensing images and, as a result, some noble metal (Au, Ag ) and nonferrous metal ore-forming prospect areas have been delineated.

Keywords Texture Principal component transformation Open water extraction ASAR PALSAR

Issue Date: 02 August 2011

	Service

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

	WANG Qing
	LIAO Jing-Juan

Cite this article:

WANG Qing,LIAO Jing-Juan. GEOLOGICAL STUDY OF REMOTE SENSING TECHNIQUE IN DEERBUGAN FOREST AND MARSHLAND AREA, INNER MONGOLIA[J]. REMOTE SENSING FOR LAND & RESOURCES, 2002, 14(2): 29-33.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2002.02.07 OR https://www.gtzyyg.com/EN/Y2002/V14/I2/29

[1]	ZANG Liri, YANG Shuwen, SHEN Shunfa, XUE Qing, QIN Xiaowei. A registration algorithm of images with special textures coupling a watershed with mathematical morphology[J]. Remote Sensing for Natural Resources, 2022, 34(1): 76-84.
[2]	GUO Xiaozheng, YAO Yunjun, JIA Kun, ZHANG Xiaotong, ZHAO Xiang. Information extraction of Mars dunes based on U-Net[J]. Remote Sensing for Natural Resources, 2021, 33(4): 130-135.
[3]	YU Bing, TAN Qingxue, LIU Guoxiang, LIU Fuzhen, ZHOU Zhiwei, HE Zhiyong. Land subsidence monitoring based on differential interferometry using time series of high-resolution TerraSAR-X images and monitoring precision verification[J]. Remote Sensing for Natural Resources, 2021, 33(4): 26-33.
[4]	LIU Chunting, FENG Quanlong, JIN Dingjian, SHI Tongguang, LIU Jiantao, ZHU Mingshui. Application of random forest and Sentinel-1/2 in the information extraction of impervious layers in Dongying City[J]. Remote Sensing for Natural Resources, 2021, 33(3): 253-261.
[5]	WANG Rong, ZHAO Hongli, JIANG Yunzhong, HE Yi, DUAN Hao. Application and analyses of texture features based on GF-1 WFV images in monthly information extraction of crops[J]. Remote Sensing for Natural Resources, 2021, 33(3): 72-79.
[6]	GAO Kaixuan, JIAO Haiming, WANG Xinchuang. Inversion model of forest canopy height based on image texture,spectral and topographic features[J]. Remote Sensing for Land & Resources, 2020, 32(3): 63-70.
[7]	Hui HUANG, Xiongwei ZHENG, Genyun SUN, Yanling HAO, Aizhu ZHANG, Jun RONG, Hongzhang MA. Seismic image classification based on gravitational self-organizing map[J]. Remote Sensing for Land & Resources, 2019, 31(3): 95-103.
[8]	Qun WANG, Jinghui FAN, Wei ZHOU, Weilin YUAN, Liqiang TONG, Zhaocheng GUO. Research on the DEM-assisted offset tracking technique applied to glaciers movement monitoring[J]. Remote Sensing for Land & Resources, 2018, 30(3): 167-173.
[9]	Shangwang LIU, Liuyang GAO, Bo WANG. Research on image denoising algorithm of joint bilateral filter and wavelet threshold shrinkage[J]. Remote Sensing for Land & Resources, 2018, 30(2): 114-124.
[10]	Yanyan LI, Ping TANG, Changmiao HU, Xiaojun SHAN. PALSAR-2 image ortho-rectification based on orbit parameters modulation[J]. Remote Sensing for Land & Resources, 2018, 30(2): 53-59.
[11]	Li YAN, Xun GONG, Hong XIE. Phase correlation supported feature track- matching algorithm for repeating texture[J]. Remote Sensing for Land & Resources, 2018, 30(1): 1-6.
[12]	ZHOU Xiaoyu, CHEN Fulong, JIANG Aihui. SVM-based forest mapping of Wolong Giant Panda Habitat using SAR data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 85-91.
[13]	WANG Yu, FU Meichen, WANG Li, WANG Changyao. Tree-cotton intercropping land extraction based on multi-source high resolution satellite imagery[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 152-159.
[14]	SU Tengfei, ZHANG Shengwei, LI Hongyu. Segmentation algorithm based on texture feature and region growing for high-resolution remote sensing image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 72-81.
[15]	HUA Yongchun, LI Zengyuan, GAO Zhihai, GUO Zhong. Extraction of Nitaria tangutorum dune in Minqin County based on GF-2 data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 71-77.