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Proceedings Paper

Study on object-oriented information extraction technology and its application to LUCC in the northern coast of Hainan Island
Author(s): Congju Zhao; Pengshan Li; Xiang Li
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Paper Abstract

The northern coast of Hainan Island was selected as the study area. The object-oriented information extraction technology was used to process the remote sensing data of 1991, 2001, 2008, and processing results were put to the test of the coefficient of Kappa. The results show that: (1) Methods based on object-oriented information extraction technology can turn remote sensing data to integrated geographic information accurately and efficiently. (2) Kappa indexes, used to test the accuracy of classification results, were 0.7984(in 1991), 0.8331(in 2001), and 0.8571(in 2008) and the overall accuracies were 85.2, 88.86 and 89.14, respectively, which indicated the classification technology was more effective. (3) From 1991 to 2008, the area of construction land and water area increased in the study area. The number of construction land significantly increased, rose by 12083.33 hm2, an average annual growth of 1.09 percent over the past 18 years. But the area of arable land, forest land, wetland and unused land decreased, among of which the decreasing tendency of arable land was significantly, the area dropped by 8124.75 hm2, about 0.73 percent annually on average. (4) During the period, 71.34% of the increased construction land was converted from arable land, which indicated that urbanization has caused a great loss to agricultural land.

Paper Details

Date Published: 4 November 2010
PDF: 10 pages
Proc. SPIE 7858, Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment, 785814 (4 November 2010); doi: 10.1117/12.869409
Show Author Affiliations
Congju Zhao, Hainan Normal Univ. (China)
Pengshan Li, Hainan Technology and Business College (China)
Xiang Li, Hainan Normal Univ. (United States)


Published in SPIE Proceedings Vol. 7858:
Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment
Robert J. Frouin; Hong Rhyong Yoo; Joong-Sun Won; Aiping Feng, Editor(s)

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