Landuse Classification in Arid and Semi-Arid Areas Using CBERS-1 Imagery

doi:10.7523/j.issn.2095-6134.2003.3.012

›› 2003, Vol. 20 ›› Issue (3): 334-340.DOI: 10.7523/j.issn.2095-6134.2003.3.012

Previous Articles Next Articles

Landuse Classification in Arid and Semi-Arid Areas Using CBERS-1 Imagery

LIU AiXia, LIU ZhengJun, WANG ChangYao, NIU Zheng

Key Laboratory of Remote Sensing Information Sciences, Institnte of Remote Sensing Application, Chinese Cademg of Sciences, Beijing 100101, China

Received:2002-10-09 Online:2003-05-10

Abstract

Abstract:

Discussed and analyzed results of different classification algorithms for land use classification in arid and semiarid areas using CBERS-1 image, Which in case of our study is Shihezi Municipality, Xinjiang Province.Three types of classifiers are included in our experiment, including the Maximum Likelihood classifier, BP neural network classifier and Fuzzy-ARTMAP neural network classifier.The classification results showed that the classification accuracy of Fuzzy-ARTMAP was the best among three classifiers, increased by 10.69 %and 6.84 % thanMaximum likelihood and BP neural network, respectively.Meanwhile, the result also confirmed the practicability of CBERS-1 image in land use survey.

Key words: CBERS-1 image, BP neural network, Fuzzy-ARTMAP neural network, land use classification

CLC Number:

TP79

LIU AiXia, LIU ZhengJun, WANG ChangYao, NIU Zheng. Landuse Classification in Arid and Semi-Arid Areas Using CBERS-1 Imagery[J]. , 2003, 20(3): 334-340.

[1]	WANG Hong, XU Youyu, TAN Chong, LIU Hong, ZHENG Min. Information fusion algorithm based on improved particle swarm BP neural network in WSN [J]. , 2020, 37(5): 673-680.
[2]	WANG Huijun, ZHAO Guiping, LI Liang, ZHANG Wei, QI Rong, LIU Jun. TOC prediction model for muddy source rocks based on convolutional neural network (CNN): a case study of the Hangjinqi area of the Ordos Basin [J]. , 2020, 37(1): 103-112.
[3]	ZHAO Yawei, CHEN Yanjing. A combined prediction model for multi-dimensional time series [J]. , 2016, 33(6): 825-833.
[4]	DUAN Zu-Liang, ZHANG Xiao-Lei, QUAN Xiao-Yan. Analysis of construction land by back-propagation neural network model with Xinjiang as a case [J]. , 2009, 26(4): 451-457.
[5]	DU Fu-Jia, WANG Da-Xing. Nonlinear Rectification Method of Platinum Resistance by BP Neural Network [J]. , 2006, 23(2): 155-158.

Landuse Classification in Arid and Semi-Arid Areas Using CBERS-1 Imagery

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 5

Recommended Articles

Metrics

Comments