Title
Detection Of Moving Small Targets In Infrared Image Sequences Containing Cloud Clutter
Abstract
Detecting and tracking dim moving small targets in infrared image sequences containing cloud clutter is an important area of research. The paper proposes a novel algorithm for the dim moving small target detection in cloudy background. The algorithm consists of three courses. The first course consists of the image spatial filtering and the sequence temporal filtering, it can be realized by two parallel calculative parts. The second course is the fusion and the segmentation processing. The last course is the targets acquiring and tracking, it can be achieved by the Kalman tracker. The results of our experiment prove that the algorithm is very effective.
Year
DOI
Venue
2004
10.1142/S0218001404003101
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
background suppressing, anisotropic diffusion, temporal filtering, image fusion, Kalman tracker
Anisotropic diffusion,Computer vision,Pattern recognition,Image fusion,Clutter,Segmentation,Filter (signal processing),Kalman filter,Artificial intelligence,Mathematics,Spatial filter,Cloud computing
Journal
Volume
Issue
ISSN
18
2
0218-0014
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Wei Wu120.79
Peng Jiaxiong2458.03