Bulletin of Surveying and Mapping ›› 2020, Vol. 0 ›› Issue (1): 35-39.doi: 10.13474/j.cnki.11-2246.2020.0008

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Land-use information extraction of GF-1 remote sensing image of reservoir area by using object-oriented method

YANG Zhixiang1, JIA Dongzhen2, ZHOU Hangyu1, HU Youneng1, LI Guang1   

  1. 1. Jiangxi Provincial Water Conservancy Planning and Designing Institute, Nanchang 330029, China;
    2. Hohai University, Nanjing 210098, China
  • Received:2019-05-24 Revised:2019-07-22 Published:2020-02-10

Abstract: GF-1 remote sensing satellite is the first domestic high-resolution satellite. Due to abundant information included in the images, more and more GF-1 data have been used to extract the information of land-use. However, few application is found in the land-use investigation of reservoir area of hydraulic project. Firstly, take reservoir area of Xiajiang hydraulic project in Jiangxi Province as an example, the images are preprocessed including ortho rectification using RPC model, geometric precision correction and so on. Then, band simulation based pansharpening algorithm by multiple linear regression is used to fuse 8 m multispectral and 2 m panchromatic images, the performance of this method is better than the conventional fused method. Finally, land use information of reservoir area from 2 m fused image by using object-oriented method based on comprehensive utilization of spectral information, texture, shape characteristics and so on. The results show that land-use information could be extracted from GF-1 images of reservoir area effectively; the overall classification accuracy reaches 87.9%, the Kappa index is 0.836, and can meet the requirement of land-use investigation and change motoring in reservoir area.

Key words: GF-1, object-oriented, land-use, linear regression, reservoir area of Xiajiang hydraulic project

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