title: [Fast segmentation algorithm of high resolution remote sensing image based on multiscale mean shift].
abstract: Mean Shift algorithm is a robust approach toward feature space analysis and it has been used wildly for natural scene image and medical image segmentation. However, high computational complexity of the algorithm has constrained its application in remote sensing images with massive information. A fast image segmentation algorithm is presented by extending traditional mean shift method to wavelet domain. In order to evaluate the effectiveness of the proposed algorithm, multispectral remote sensing image and synthetic image are utilized. The results show that the proposed algorithm can improve the speed 5-7 times compared to the traditional MS method in the premise of segmentation quality assurance.
authors.affiliation: School of Resource Science, Southwest Forestry University, Kunming 650224, China. wlgbain@gmail.com
authors.forename: Lei-Guang
authors.initials: LG
authors.lastname: Wang
authors.forename: Chen
authors.initials: C
authors.lastname: Zheng
authors.forename: Li-Yu
authors.initials: LY
authors.lastname: Lin
authors.forename: Rong-Yuan
authors.initials: RY
authors.lastname: Chen
authors.forename: Tian-Can
authors.initials: TC
authors.lastname: Mei
mesh_terms: D000465:Algorithms; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D013686:Telemetry / Q000379:methods*