Land-cover survey method using object-oriented technology and HJ-CCD image on large scale

doi:10.7523/j.issn.2095-6134.2013.06.009

Abstract

Abstract:

Based on HJ-CCD remote image data, object-oriented technology was applied into the land-cover extraction in Hunan Province. We mainly focus on land-cover survey method using HJA/B remote sensing images on large scale and explore a set of approaches to get land-cover information using object-oriented technology. The overall accuracy of the results is 84.99% and Kappa coefficient is 82.79%. The research results show that land-cover survey method using HJ-CCD remote sensing images and object-oriented classification technology is feasible and effective on large scale.

Key words: HJ remote sensing image, object-oriented, large scale, partition mobile classification method, ecognition

CLC Number:

P954
S127

LUO Kai-Sheng, LI Ren-Dong, CHANG Bian-Rong. Land-cover survey method using object-oriented technology and HJ-CCD image on large scale[J]. , 2013, 30(6): 770-778.

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