Adaptive and Fast Prescreening for SAR ATR via Change Detection Technique
Change detection is a process of identifying changes in the state of objects between the reference and test images. This letter presents a target prescreening method that employs the change detection technique for automatic target recognition in synthetic aperture radar (SAR) images. First, four tra...
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| Veröffentlicht in: | IEEE geoscience and remote sensing letters 2016-11, Vol.13 (11), p.1691-1695 |
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| container_title | IEEE geoscience and remote sensing letters |
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| creator | Quan, Sinong Xiong, Boli Zhang, Siqian Yu, Meiting Kuang, Gangyao |
| description | Change detection is a process of identifying changes in the state of objects between the reference and test images. This letter presents a target prescreening method that employs the change detection technique for automatic target recognition in synthetic aperture radar (SAR) images. First, four translated versions of an original SAR image are generated, and the corresponding four likelihood ratio images are computed. Then, a robust threshold is derived from the ratio of the histogram at two adjacent gray-level values of the likelihood ratio images. Finally, the threshold is applied to perform the prescreening. The proposed method implements the procedure without any prior knowledge and overcomes the weak adaptability of traditional algorithms. Two different real X-band airborne SAR images acquired over Beijing are used to quantitatively and qualitatively demonstrate the effectiveness of the proposed method. |
| doi_str_mv | 10.1109/LGRS.2016.2604487 |
| format | Article |
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This letter presents a target prescreening method that employs the change detection technique for automatic target recognition in synthetic aperture radar (SAR) images. First, four translated versions of an original SAR image are generated, and the corresponding four likelihood ratio images are computed. Then, a robust threshold is derived from the ratio of the histogram at two adjacent gray-level values of the likelihood ratio images. Finally, the threshold is applied to perform the prescreening. The proposed method implements the procedure without any prior knowledge and overcomes the weak adaptability of traditional algorithms. Two different real X-band airborne SAR images acquired over Beijing are used to quantitatively and qualitatively demonstrate the effectiveness of the proposed method.</description><subject>Automatic target recognition (ATR)</subject><subject>change detection</subject><subject>Clutter</subject><subject>Detectors</subject><subject>Histograms</subject><subject>Real-time systems</subject><subject>Robustness</subject><subject>Synthetic aperture radar</subject><subject>synthetic aperture radar (SAR)</subject><subject>target prescreening</subject><subject>Target recognition</subject><issn>1545-598X</issn><issn>1558-0571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AURQdRsFZ_gLgZcJ06L_ORmWWothYKSlvB3TCZvmlTNKmTtOC_N6HF1XuLc--FQ8g9sBEAM0_z6WI5ShmoUaqYEDq7IAOQUidMZnDZ_0Im0ujPa3LTNDvGUqF1NiCzfO32bXlE6qo1nbimpe8RGx8Rq7La0FBHuswXNF8t6LF0dLx11QbpM7bo27Ku6Ar9tip_DnhLroL7avDufIfkY_KyGr8m87fpbJzPE88VbxMnldeBZSozJlVFMEoU4FwoQIMoUHKHIERaQMa084AYfMENKBbAGMPXfEgeT737WHezTWt39SFW3aQFzYFxLYToKDhRPtZNEzHYfSy_Xfy1wGxvzPbGbG_Mno11mYdTpkTEfz6TimvD-R-pY2XL</recordid><startdate>20161101</startdate><enddate>20161101</enddate><creator>Quan, Sinong</creator><creator>Xiong, Boli</creator><creator>Zhang, Siqian</creator><creator>Yu, Meiting</creator><creator>Kuang, Gangyao</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Automatic target recognition (ATR) change detection Clutter Detectors Histograms Real-time systems Robustness Synthetic aperture radar synthetic aperture radar (SAR) target prescreening Target recognition |
| title | Adaptive and Fast Prescreening for SAR ATR via Change Detection Technique |
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