TY - GEN
T1 - Ship target segmentation in ISAR images
AU - Wang, Jun
AU - Wan, Dongdong
PY - 2013
Y1 - 2013
N2 - For problem of ship target segmentation, this paper firstly uses CFAR algorithms, which is based on K-distribution, to segment ISAR images, then applies morphological image processing, to improve segmentation results. Morphological algorithm can not only effectively filter out noise, but also retain original image information. The final step is to remove non-target area. Segmentation experimental results show that the methods given in this article can be effective on ship target segmentation.
AB - For problem of ship target segmentation, this paper firstly uses CFAR algorithms, which is based on K-distribution, to segment ISAR images, then applies morphological image processing, to improve segmentation results. Morphological algorithm can not only effectively filter out noise, but also retain original image information. The final step is to remove non-target area. Segmentation experimental results show that the methods given in this article can be effective on ship target segmentation.
KW - CFAR algorithm
KW - Image segmentation
KW - Morphological methods
KW - SAR/ISAR
UR - https://www.scopus.com/pages/publications/84869408729
U2 - 10.1007/978-3-642-34531-9_64
DO - 10.1007/978-3-642-34531-9_64
M3 - 会议稿件
AN - SCOPUS:84869408729
SN - 9783642345302
T3 - Lecture Notes in Electrical Engineering
SP - 607
EP - 614
BT - Proceedings of the 2012 International Conference on Information Technology and Software Engineering - Software Engineering and Digital Media Technology
T2 - 2012 International Conference on Information Technology and Software Engineering, ITSE 2012
Y2 - 8 December 2012 through 10 December 2012
ER -