Global and Local Saliency Analysis for the Extraction of Residential   Areas in High-Spatial-Resolution Remote Sensing Image

doi:10.1109/TGRS.2016.2527044

CORC > 北京大学 > 信息科学技术学院

	Global and Local Saliency Analysis for the Extraction of Residential Areas in High-Spatial-Resolution Remote Sensing Image
	Zhang, Libao ; Li, Aoxue ; Zhang, Zhongjun ; Yang, Kaina
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2016
关键词	Adaptive directional enhancement lifting wavelet transform (ADE-LWT) image processing quaternion Fourier transform (QFT) remote sensing saliency analysis VISUAL-ATTENTION WAVELET TRANSFORM REGION DETECTION MODEL FRAMEWORK AERIAL
DOI	10.1109/TGRS.2016.2527044
英文摘要	Extraction of residential areas plays an important role in remote sensing image processing. Extracted results can be applied to various scenarios, including disaster assessment, urban expansion, and environmental change research. Quality residential areas extracted from a remote sensing image must meet three requirements: well-defined boundaries, uniformly highlighted residential area, and no background redundancy in residential areas. Driven by these requirements, this study proposes a global and local saliency analysis model (GLSA) for the extraction of residential areas in high-spatial-resolution remote sensing images. In the proposed model, a global saliency map based on quaternion Fourier transform (QFT) and a global saliency map based on adaptive directional enhancement lifting wavelet transform (ADE-LWT) are generated along with a local saliency map, all of which are fused into a main saliency map based on complementarities. In order to analyze the correlation among spectrums in the remote sensing image, the phase spectrum information of QFT is used on the multispectral images for producing a global saliency map. To acquire the texture and edge features of different scales and orientations, the coefficients acquired by ADE-LWT are used to construct another global saliency map. To discard redundant backgrounds, the amplitude spectrum of the Fourier transform and the spatial relations among patches are introduced into the panchromatic image to generate the local saliency map. Experimental results indicate that the GLSA model can better define the boundaries of residential areas and achieve complete residential areas than current methods. Furthermore, the GLSA model can prevent redundant backgrounds in residential areas and thus acquire more accurate residential areas.; National Natural Science Foundation of China [61571050, 61071103]; Beijing Natural Science Foundation [4162033]; SCI(E); EI; ARTICLE; libaozhang@bnu.edu.cn; lax@pku.edu.cn; 7; 3750-3763; 54
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/492098]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhang, Libao,Li, Aoxue,Zhang, Zhongjun,et al. Global and Local Saliency Analysis for the Extraction of Residential Areas in High-Spatial-Resolution Remote Sensing Image[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2016.
APA	Zhang, Libao,Li, Aoxue,Zhang, Zhongjun,&Yang, Kaina.(2016).Global and Local Saliency Analysis for the Extraction of Residential Areas in High-Spatial-Resolution Remote Sensing Image.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING.
MLA	Zhang, Libao,et al."Global and Local Saliency Analysis for the Extraction of Residential Areas in High-Spatial-Resolution Remote Sensing Image".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016).