Framland parcels extraction from high-resolution remote sensing images based on the two-stage image classification

Guoying Liu; Xu Song; Jing Lv

doi:10.1117/12.2209212

14 December 2015 Framland parcels extraction from high-resolution remote sensing images based on the two-stage image classification

Guoying Liu, Xu Song, Jing Lv

Author Affiliations +

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 981211 (2015) https://doi.org/10.1117/12.2209212
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

It is difficult and boring for people to artificially extract farmland parcels from high resolution remote sensing images. Therefore, automatic methods are in the urgent need to release image interpreters from such a work as well as achieve accurate results. In the past years, although many researchers have made attempts to solve this problem by using different techniques and also produced some good results, they still cannot meet the demand of practical applications. In this paper, a farmland extraction method is proposed based on a new technique of two-stage image classification. The first stage aims at producing a map of farmland area by using the supervised iterative conditional mode (ICM), where a novel mixture posterior is proposed based on the tree-structured interpretation of certain complex landscapes, e.g., farmland and building area, and the Markov random field model (MRF) is also used to make use of spatial information between neighboring pixels. The second stage extracts the farmland parcels by using the Meanshift algorithm (MS) based on the hybrid of the original image and the texture image produced by the local binary pattern (LBP) method. We applied our method to a piece of aerial image in the urban area of Taizhou, China. The results show that the proposed method has an ability to produce more accurate results than the MS method.

Citation Download Citation

Guoying Liu, Xu Song, and Jing Lv "Framland parcels extraction from high-resolution remote sensing images based on the two-stage image classification", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 981211 (14 December 2015); https://doi.org/10.1117/12.2209212

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