THE APPLICATION OF THE ADJUSTMENT TECHNIQUE TO TM SATELLITE IMAGERY IN NANSHA ISLANDS

doi:10.6046/gtzyyg.2002.02.12

Download: PDF(210 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

This paper describes the principle of TM imagery adjustment technique. Through adjustment-processing and error-analyzing of TM imagery data obtained from Nansha Islands,we can get fairly accurate positioning information by using TM imagery and corresponding control data.

Keywords Mine Electronic sand table Monitoring

Issue Date: 02 August 2011

	Service

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

	ZHANG Feng

Cite this article:

ZHANG Feng. THE APPLICATION OF THE ADJUSTMENT TECHNIQUE TO TM SATELLITE IMAGERY IN NANSHA ISLANDS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2002, 14(2): 49-50，60.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2002.02.12 OR https://www.gtzyyg.com/EN/Y2002/V14/I2/49

[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]	LYU Pin, XIONG Liyuan, XU Zhengqiang, ZHOU Xuecheng. FME-based method for attribute consistency checking of vector data of mines obtained from remote sensing monitoring[J]. Remote Sensing for Natural Resources, 2022, 34(1): 293-298.
[3]	QIN Dahui, YANG Ling, CHEN Lunchao, DUAN Yunfei, JIA Hongliang, LI Zhenpei, MA Jianqin. A study on the characteristics and model of drought in Xinjiang based on multi-source data[J]. Remote Sensing for Natural Resources, 2022, 34(1): 151-157.
[4]	YANG Wang, HE Yi, ZHANG Lifeng, WANG Wenhui, CHEN Youdong, CHEN Yi. InSAR monitoring of 3D surface deformation in Jinchuan mining area, Gansu Province[J]. Remote Sensing for Natural Resources, 2022, 34(1): 177-188.
[5]	LIU Mingxing, LIU Jianhong, MA Minfei, JIANG Ya, ZENG Jingchao. Monitoring of Zanthoxylum bungeanum Maxim planting using GF-2 PMS images and the random forest algorithm: A case study of Linxia, Gansu Province[J]. Remote Sensing for Natural Resources, 2022, 34(1): 218-229.
[6]	LI Mengmeng, FAN Xueting, CHEN Chao, LI Qiannan, YANG Jin. Monitoring and interpretation of land subsidence in mining areas in Xuzhou City during 2016—2018[J]. Remote Sensing for Natural Resources, 2021, 33(4): 43-54.
[7]	CHEN Jie, ZHANG Lifu, ZHANG Linshan, ZHANG Hongming, TONG Qingxi. Research progress on online monitoring technologies of water quality parameters based on ultraviolet-visible spectra[J]. Remote Sensing for Natural Resources, 2021, 33(4): 1-9.
[8]	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.
[9]	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.
[10]	SHA Yonglian, WANG Xiaowen, LIU Guoxiang, ZHANG Rui, ZHANG Bo. SBAS-InSAR-based monitoring and inversion of surface subsidence of the Shadunzi Coal Mine in Hami City, Xinjiang[J]. Remote Sensing for Natural Resources, 2021, 33(3): 194-201.
[11]	ZHAO Xiaochen, WU Haonan, LI Linyi, MENG Lingkui. GPU-based parallel image processing algorithm for flood and drought monitoring[J]. Remote Sensing for Natural Resources, 2021, 33(3): 107-113.
[12]	ZHAO Longxian, DAI Jingjing, ZHAO Yuanyi, JIANG Qi, LIU Tingyue, FU Minghai. A study of mine site selection of the Duolong ore concentration area in Tibet based on RS and GIS technology[J]. Remote Sensing for Land & Resources, 2021, 33(2): 182-191.
[13]	LONG Zehao, ZHANG Tianyuan, XU Wei, QIN Qiming. Development of farmland drought remote sensing dynamic monitoring system based on Android[J]. Remote Sensing for Land & Resources, 2021, 33(2): 256-261.
[14]	CHEN Dong, YAO Weiling. Automatic numbering and method improvement of mine patches based on ArcPy and custom ArcToolbox[J]. Remote Sensing for Land & Resources, 2021, 33(2): 262-269.
[15]	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.