@inproceedings{7c16f863f3f14f0bb6472cad71ca3c0e,
title = "Adaptive small target detection based on evaluating complex degree of infrared image",
abstract = "In order to detect small target in non-stationary complex background, this paper summarizes the previous representative results about the image complex degree metrics, and focuses on analyzing the disadvantage of weighted information entropy (WIE) in the application of adaptively detecting small target in frequency domain. We then introduce clustering and classification of feature vectors of pixels to the detection of small targets, and clustering degree of feature vectors of background pixels and the dispersion degree of feature vectors of target pixels outside the background clustering in feature space are described by constructed Statistical Distance Weighted Information Entropy (SDWIE). Then the adaptive small target detection algorithm based on SDWIE is proposed in this paper. The validity of this algorithm was demonstrated by actual experiments.",
keywords = "Complex degree of image, Infrared image, PCA, Target detection",
author = "Hou, \{Qing Yu\} and Wei Zhang and Wu, \{Chun Feng\} and Li, \{Qiu Ming\} and Lu, \{Li Hong\} and Cao, \{Yi Ming\}",
year = "2009",
doi = "10.1117/12.836104",
language = "英语",
isbn = "9780819476647",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Infrared Imaging and Applications",
note = "International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications ; Conference date: 17-06-2009 Through 19-06-2009",
}