Open AccessA Novel Algorithm of Water Region Detection in SAR Image Based on Bag of Visual Words and Local Pattern Histogram
Author(s) -
Feng Jing,
Chen Liang,
Wei Hang,
Bi Fukun,
Chen He
Publication year - 2016
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2016.08.019
Subject(s) - histogram , artificial intelligence , pattern recognition (psychology) , image (mathematics) , bag of words model in computer vision , computer science , computer vision , visual word , image retrieval
Water region detection based on SAR images is a difficult problem for its computing complexity. This paper proposes a novel water region detection method in SAR image of complex scenery. The algorithm takes advantages of Bag of visual words (BOV) to precisely describe the homogeneous region in complex scenery. Local pattern histogram (LPH) and single‐class Support vector machine (SVM) are adopted to determine the edge information of water region precisely. The feature extraction is calculated block by block, which reduces computing workload and interference from noise. The experiments based on SAR images of real complex scenery show that the proposed method achieves higher accuracy and robustness.