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JOURNAL OF DESERT RESEARCH  2013, Vol. 33 Issue (5): 1586-1592    DOI: 10.7522/j.issn.1000-694X.2013.00225
Ecology and Economics     
Object-Oriented Information Extraction Method for Soil Salinization in Arid Area
Mamat·sawut1,2, Tashpolat·Tiyip1,2, DING Jian-li1,2, ZHANG fei1,2, SUN Qian1,2
1.College of Resource and Environment Sciences, Xinjiang University, Urumqi 830046, China;
2.Ministry of Education Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
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Abstract  

Soil salinization is a major environmental issue in the world, and it is more serious in arid and semi-arid area. The remote sensing technology is widely used to detect and monitor soil salinizaion to timely provide the information about properties, spatial distribution and extent of soil salinization. The method of object-oriented information extraction from high resolution images has been developed rapidly with the wide use of high resolution remote sensing images. In this paper, the object-oriented classification method was used to extract soil salinization information from the ALOS images, and the result was compared with the traditional maximum likelihood classification method. The results show that the overall accuracy of this object-oriented method was 89.38% with a kappa coefficient value of 0.88. Compared with the traditional method, the overall accuracy and kappa coefficient value increased 8.24% and 0.08, respectively; The object-oriented method is superior to traditional method in high resolution remote sensing information extraction.

Key words:  object-oriented      high resolution image      information extraction      soil salinization     
Received:  15 December 2012      Published:  07 March 2013
ZTFLH:  TP753  

Cite this article: 

Mamat·sawut1,2, Tashpolat·Tiyip1,2, DING Jian-li1,2, ZHANG fei1,2, SUN Qian1,2. Object-Oriented Information Extraction Method for Soil Salinization in Arid Area. JOURNAL OF DESERT RESEARCH, 2013, 33(5): 1586-1592.

URL: 

http://www.desert.ac.cn/EN/10.7522/j.issn.1000-694X.2013.00225     OR     http://www.desert.ac.cn/EN/Y2013/V33/I5/1586

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