THE APPLICATION OF MULTI-STAGE CLASSIFICATION<br />
APPROACH TO THE EXTRACTION OF LAND USE/COVER<br />
INFORMATION IN MINHANG DISTRICT， SHANGHAI

doi:10.6046/gtzyyg.2006.01.18

Download: PDF(527 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

The classification of remote sensing images constitutes the basis of LUCC research. The land use/cover information of Minhang was obtained by means of the multi-stage classification approach. The verification of the classification results indicates that the accuracy of the classification is 85%. The results of classification are satisfactory.

:
	TP 79： F 301.24

Issue Date: 24 July 2009

	Service

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

	Quan Zhijie

Cite this article:

Quan Zhijie. THE APPLICATION OF MULTI-STAGE CLASSIFICATION
APPROACH TO THE EXTRACTION OF LAND USE/COVER
INFORMATION IN MINHANG DISTRICT， SHANGHAI[J]. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(1): 79-82.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2006.01.18 OR https://www.gtzyyg.com/EN/Y2006/V18/I1/79

[1]	YANG Li-Juan, WU Sheng-Li, ZHANG Zhong-Jun. A Model Analysis Using a Combined Active/Passive Microwave Remote Sensing Approach for Soil Moisture Retrieval[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 53-58.
[2]	LIN Ting, LIU Xiang-Nan, TAN Zheng. Zn Contamination Monitoring Model of Rice Based on ICA and Hyperspectral Index[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 59-64.
[3]	YANG Shu-Wen, LI Ming-Yong, LIU Tao, SUN Jian-Guo, DUAN Huan-E. A Method of Alluvial Fan Automatic Extraction from TM Image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 65-69.
[4]	DIAO Hai, ZHANG Da, DI Yong-Jun, WANG Zhen, WANG Hao-Ran, XIONG Guang-Qiang. The Extraction of Alteration Anomalies from ASTER Data Based on Principal Component Analysis and Fractal Model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 75-80.
[5]	HUANG Miao-Fen, MAO Zhi-Hua, XING Xu-Feng, SUN Zhong-Ping, ZHAO Zu-Long, HUANG Wei. A Model for Water Surface Temperature Retrieval from HJ-1B/IRS Data and Its Application[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 81-86.
[6]	ZHAO Yue， ZHOU Ping . An Improved K-means Algorithm for Remote Sensing Classification[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 87-90.
[7]	LI Zhi-Feng, ZHU Gu-Chang, ZHANG Jian-Guo, LIU Huan, HU Xing-Hua. The Extraction and Analysis of Iron Alteration Information Based on SPOT Data for Mineral Prediction:A Case Study of the Longnan Gold Ore District[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 91-97.
[8]	MENG Dan, ZHANG Zhi, FENG Wen. The Risk Analysis of Solid Waste of the Fujawu Copper Ore District Based on GeoEye-1 and DEM[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 130-134.
[9]	LV Feng-Hua, SHU Ning, TAO Jian-Bin, FU Jing. Variable Step Size-Based Estimation of Fractal Dimension for Spectral Response Curve[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 37-41.
[10]	GAO Jian-Yang. The Application of the Hypeion Hyper-spectral Image to the Zhongteng Cu-Mo Deposit in Pinghe County of Fujian Province[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 87-90.
[11]	DENG Ji-Qiu, XIE Yang, ZHANG Bao-Yi, MAO Xian-Cheng. The Extraction of the Manganese Mineralization Alteration Information from the ETM+ Image and Ore Prognosis[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 102-105.
[12]	DENG Rui, HUANG Jing-Feng. The Monitoring of Landslide and Debris Flow Caused by Typhoon Morakot Based on HJ-1 Images[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 106-109.
[13]	MA Long. The Evaluation of NASA MODIS Sea Ice Products： a Case Study of Sea Ice in Liaodong Bay[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 115-117.
[14]	FENG Yong-Jiu, HAN Zhen. RS and GIS Derived Spatio-temporal Evolution of Water Landscape in Coastal Areas: a Case Study of Shanghai Section on the Northern Bank of Hangzhou Bay[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 123-127.
[15]	ZHANG Guo, PAN Hong-Bo, JIANG Wan-Shou, QIN Xu-Wen. Epipolar Resampling and Epipolar Geometry Reconstruction of Linear Array Scanner Scenes Based on RPC Model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(4): 1-5.

Viewed

Full text

Abstract

Cited

Shared

Discussed