基于空间语义模型的高分辨率遥感图像目标检测方法.pdf

35 10 Vol.35No.10 2013 10 Journal of Electronics Information Technology Oct. 2013 ( 100190) ( 100049) TP753 A 1009-5896(2013)10-2518-06 DOI: 10.3724/SP.J.1146.2013.00033 Spatial Semantic Model Based Geo-objects Detection Method for High Resolution Remote Sensing Images Feng Wei-dong Sun Xian Wang Hong-qi (Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China) (University of Chinese Academy of Sciences, Beijing 100049, China) Abstract: A spatial semantic model based method is proposed to solve the issue of automatically detecting geo-objects in high resolution remote sensing images. This method obtains firstly image segments through over-segmentation algorithm, and calculates the multiple features by using topic models, in order to improve the description accuracy of segments attribution. Then, this method investigates and models the spatial relationship between geo-objects in whole images, and a semantic parsing tree of the scene category is extracted, which could be used to detect and locate the geo-objects. The experimental results on the dataset demonstrate the robustness and accuracy of this method. Key words: Objects detection; High resolution remote sensing images; Spatial semantic 1  Fergus [5] [1]