Share Email Print
cover

Proceedings Paper

A holistic image segmentation framework for cloud detection and extraction
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Atmospheric clouds are commonly encountered phenomena affecting visual tracking from air-borne or space-borne sensors. Generally clouds are difficult to detect and extract because they are complex in shape and interact with sunlight in a complex fashion. In this paper, we propose a clustering game theoretic image segmentation based approach to identify, extract, and patch clouds. In our framework, the first step is to decompose a given image containing clouds. The problem of image segmentation is considered as a “clustering game”. Within this context, the notion of a cluster is equivalent to a classical equilibrium concept from game theory, as the game equilibrium reflects both the internal and external (e.g., two-player) cluster conditions. To obtain the evolutionary stable strategies, we explore three evolutionary dynamics: fictitious play, replicator dynamics, and infection and immunization dynamics (InImDyn). Secondly, we use the boundary and shape features to refine the cloud segments. This step can lower the false alarm rate. In the third step, we remove the detected clouds and patch the empty spots by performing background recovery. We demonstrate our cloud detection framework on a video clip provides supportive results.

Paper Details

Date Published: 21 May 2013
PDF: 9 pages
Proc. SPIE 8739, Sensors and Systems for Space Applications VI, 873911 (21 May 2013); doi: 10.1117/12.2015175
Show Author Affiliations
Dan Shen, Intelligent Fusion Technology, Inc. (United States)
Haotian Xu, Temple Univ. (United States)
Erik Blasch, Air Force Research Lab. (United States)
Gregory Horvath, Air Force Research Lab. (United States)
Khanh Pham, Air Force Research Lab. (United States)
Yufeng Zheng, Alcorn State Univ. (United States)
Haibin Ling, Temple Univ. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)


Published in SPIE Proceedings Vol. 8739:
Sensors and Systems for Space Applications VI
Khanh D. Pham; Joseph L. Cox; Richard T. Howard; Genshe Chen, Editor(s)

© SPIE. Terms of Use
Back to Top