A METHOD FOR CLASSIFICATION OF HIGH RESOLUTION REMOTELY SENSED IMAGES BASED ON MULTI-FEATURE OBJECTS AND ITS APPLICATION

doi:10.6046/gtzyyg.2007.01.17

Download: PDF(618 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

This paper puts forward a classification method for high resolution remotely sensed images based on multi-feature objects, analyzes its advantages in comparison with the traditional pixel-based means which completely depend on spectral information. A case study related to the classification method is described, and the result shows that the new technique based on multi-feature objects is more efficient than the pixels-based methods.

Keywords Principle component analysis Lancangjiang Lanping region Cu mineralization alteration Remote sensing information

:	TP 751.1
	TP 79

Issue Date: 19 July 2009

	Service

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

Cite this article:

CAI Yin-Qiao, MAO Zheng-Yuan. A METHOD FOR CLASSIFICATION OF HIGH RESOLUTION REMOTELY SENSED IMAGES BASED ON MULTI-FEATURE OBJECTS AND ITS APPLICATION[J]. REMOTE SENSING FOR LAND & RESOURCES,2007, 19(1): 77-81.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2007.01.17 OR https://www.gtzyyg.com/EN/Y2007/V19/I1/77

[1]	Chang LIU, Kang YANG, Liang CHENG, Manchun LI, Ziyan GUO. Comparison of Landsat8 impervious surface extraction methods[J]. Remote Sensing for Land & Resources, 2019, 31(3): 148-156.
[2]	Ruhan A, Fang HE, Biaobiao WANG. Hyperspectral images classification via weighted spatial-spectral dimensionality reduction principle component analysis[J]. Remote Sensing for Land & Resources, 2019, 31(2): 17-23.
[3]	RAN Quan, LI Guoqing, YU Wenyang, ZHANG Lianchong. Online visual customization and automatic calculation of remote sensing information model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 221-226.
[4]	GUO Hongyan, ZOU Liqun, ZHANG Youyan, LIU Yang, DONG Wentong, ZHOU Hongying. Data management of multi-temporal images for remote sensing information services in oil and gas application[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(2): 188-192.
[5]	KUANG Zhong, HUANG Xinxin, KUANG Shunda, LU Zhengyan, LONG Shengqing. Distribution characteristics of remote sensing information on weak mineralization and alteration in Guizhou[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(2): 140-147.
[6]	HU Bo, ZHU Gu-chang, ZHANG Yuan-fei, LENG Chao. Method for Extraction of Remote Sensing Information Based on Gaussian Mixture Model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 41-47.
[7]	ZHANG Yuan-Ping, JIANG Duan-Wu, HUANG Shu-Chun. A Study of the Method for Remote Sensing Information Extraction of Water Erosion Desertification[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(s1): 18-20.
[8]	SU Cen, MO Jun-Jie. A Remote Monitoring Mathematical Model for Urban Expansion in Changsha[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(4): 60-63.
[9]	WU De-Wen, ZHU Gu-Chang, ZHANG Yuan-Fei, YUAN Ji-Ming. THE MULTIVARIATE DATA ANALYSIS AND THE MODEL FOR EXTRACTING REMOTE SENSING MINERALIZATION AND ALTERATION INFORMATION[J]. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(1): 22-25.
[10]	zhANG Pei-min, HUANG Lin-ri, BAO Ju-cai, WANG Jun-qing. GOLDMINE INFORMATION ABSTRACTING AND PREDICTING OF XIAOJIAYINGZI AREA OF LIAONING PROVINCE OF CHINA[J]. REMOTE SENSING FOR LAND & RESOURCES, 2000, 12(3): 31-37.
[11]	Liu Qingsheng . OPTIMUM SEGMENTATION OF SEQUENTIAL ROCK REMOTE SENSING INFORMATION[J]. REMOTE SENSING FOR LAND & RESOURCES, 1999, 11(2): 50-54.
[12]	Wang Feiyue, Sun Shunxin . THE APPLICATION OF ENVIRONMENTAL REMOTE SENSING INFORMATION ANALYSIS IN SEEKING FOR WATER RESOURCE IN ARID AREAS TAKING XILINHAOTE AREA, INNER MONGOLIA AUTONOMOUS REGION AS EXAMPLES[J]. REMOTE SENSING FOR LAND & RESOURCES, 1999, 11(1): 36-42.
[13]	Zhang Yujun, Yang Jianmin. THE METHOD OF AbstractING REMOTE SENSINGINFORMATION OF ALTERATED ROCKS INTHE UNCOVERED BEDROCKS AREA[J]. REMOTE SENSING FOR LAND & RESOURCES, 1998, 10(2): 46-53.
[14]	Li Changguo, Zhang Yujun . A STUDY FOR EXTRACTION OF THE CU-MINERALIZATION— LTERATION INFORMATION IN LANCANGJIANGLANPING REGION BY PRINCIPLE COMPONENT ANALYSIS OF REMOTE SENSING DATA[J]. REMOTE SENSING FOR LAND & RESOURCES, 1997, 9(1): 20-30.
[15]	Wang Yihong, Zhang Dashun, Zheng Shishu, Luo Bin . ANALYSIS OF REMOTE SENSING INFORMATION FOR KARSTIFICATION OF LIMESTONE OF MAOKOU FORMATION IN ENKOU COAL MINE OF HUNAN PROVINCE[J]. REMOTE SENSING FOR LAND & RESOURCES, 1996, 8(3): 22-28，33.