Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2005, Vol. 17 Issue (2) : 1-6     DOI: 10.6046/gtzyyg.2005.02.01
Review |
A REVIEW OF METHODS FOR CLASSIFICATION
OF REMOTE SENSING IMAGES
LI Shi-hua 1, WANG Jin-liang 1, BI Yan 1,2, CHEN Yao 1, ZHU Miao-yuan 1, YANG Shuai 3, ZHU Jia 1
1.College of Tourism and Geographic Science,Yunnan Normal University,Kunming 650092, China; 2.Yunnan Institute of Parasitical Disease, Simao 665000,China; 3.The No.1 middle school of Kaiyuan city, Kaiyuan 661600, China
Download: PDF(492 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

 The methods for supervised and unsupervised classification of remote sensing images are reviewed in this paper. The main problems discussed include the merits, shortages and application fields and conditions of these methods. An integrated evaluation of these methods is also given. The future developing trends and the key points in the study of remote sensing image classification are dealt with at the end of this paper.

: 

TP 751

 
Issue Date: 31 July 2009
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Cite this article:   
LI Shi-Hua, WANG Jin-Liang, BI Yan, CHEN Yao, ZHU Miao-Yuan, YANG Shuai, ZHU Jia. A REVIEW OF METHODS FOR CLASSIFICATION
OF REMOTE SENSING IMAGES[J]. REMOTE SENSING FOR LAND & RESOURCES,2005, 17(2): 1-6.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2005.02.01     OR     https://www.gtzyyg.com/EN/Y2005/V17/I2/1
[1] LI Feng, GAO Zhao-Liang. A Hybrid Bayesian Network Classifier for Multi-source Remote Sensing Data in Land Use Classification[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 47-52.
[2] LIU Jian-Hua. A Comparative Study of Six Methods for the Fusion of QuickBird Multispectral and Pan Images in Consideration of Segmentation Effect[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(3): 21-25.
[3] CHU Jin-Hai, PENG Peng, LI Zheng, JIA Li-Ping. THE FUSION METHOD FOR QUICKBIRD DATA IN MINE
REMOTE SENSING MONITORING
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(3): 107-109.
[4] WANG Mi, PAN Jun. A NEW COLOR BALANCE METHOD FOR LARGE-SCALE SEAMLESS IMAGE DATABASE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(4): 10-13.
[5] XU Qian-Xiang, SHENG Hui, LIAO Ming-Sheng. URBAN EXPANSION RESEARCH BASED ON MNF AND MAD TRANSFORMATION[J]. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(4): 43-45.
[6] CHEN Yao, WANG Jin-Liang, LI Shi-Hua. THE METHODS FOR REMOVING THE EFFECTS OF
CLOUD COVER IN REMOTE SENSING IMAGES
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(1): 61-65.
[7] LV Ning, GAO Yang, DENG Yu-Jiao, XUE Chong-Sheng. A STUDY OF URBAN SPATIAL STRUCTURAL DYNAMIC CHANGES OF YIWU CITY
IN ZHEJIANG PROVINCE BASED ON REMOTE SENSING MONITORING
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(4): 65-68.
[8] PENG Shun-Xi, LIN Jian, BAO Guang-Shu, CHEN Bao-Shu. A STUDY OF CHANGSHA—ZHUZHOU—XIANGTAN URBAN
EXTENSION BASED ON REMOTE SENSING
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(4): 74-77.
[9] ZHENG Wei, ZENG Zhi-Yuan. DARK-OBJECT METHODS FOR ATMOSPHERIC
CORRECTION OF REMOTE SENSING IMAGE
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(1): 8-11.
Viewed
Full text


Abstract

Cited

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