Signal subspace change detection in averaged multilook SAR imagery
This paper addresses change detection in averaged multilook synthetic aperture radar (SAR) imagery. Averaged multilook SAR images are preferable to full-aperture SAR reconstructions when the imaging algorithm is approximation-based (e.g., polar format processing) or when motion data are not accurate...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2006-01, Vol.44 (1), p.201-213 |
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| creator | Ranney, K.I. Soumekh, M. |
| description | This paper addresses change detection in averaged multilook synthetic aperture radar (SAR) imagery. Averaged multilook SAR images are preferable to full-aperture SAR reconstructions when the imaging algorithm is approximation-based (e.g., polar format processing) or when motion data are not accurate over a long full aperture. We examine the application of a SAR change-detection method, known as signal subspace processing, which is based on the principles of two-dimensional adaptive filtering, and we use it to recognize the addition of surface landmines to a particular area under surveillance. We describe the change-detection problem as a trinary hypothesis testing problem, and define a change signal and its normalized version to determine whether: 1) there is no change in the imaged scene; 2) a target has entered the imaged scene; or 3) a target has exited the imaged scene. A statistical analysis of the error signal is provided to show its properties and merits. Results are presented for averaged noncoherent multilook and coherent single-look X-band SAR imagery. |
| doi_str_mv | 10.1109/TGRS.2005.859956 |
| format | Article |
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Averaged multilook SAR images are preferable to full-aperture SAR reconstructions when the imaging algorithm is approximation-based (e.g., polar format processing) or when motion data are not accurate over a long full aperture. We examine the application of a SAR change-detection method, known as signal subspace processing, which is based on the principles of two-dimensional adaptive filtering, and we use it to recognize the addition of surface landmines to a particular area under surveillance. We describe the change-detection problem as a trinary hypothesis testing problem, and define a change signal and its normalized version to determine whether: 1) there is no change in the imaged scene; 2) a target has entered the imaged scene; or 3) a target has exited the imaged scene. A statistical analysis of the error signal is provided to show its properties and merits. 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Averaged multilook SAR images are preferable to full-aperture SAR reconstructions when the imaging algorithm is approximation-based (e.g., polar format processing) or when motion data are not accurate over a long full aperture. We examine the application of a SAR change-detection method, known as signal subspace processing, which is based on the principles of two-dimensional adaptive filtering, and we use it to recognize the addition of surface landmines to a particular area under surveillance. We describe the change-detection problem as a trinary hypothesis testing problem, and define a change signal and its normalized version to determine whether: 1) there is no change in the imaged scene; 2) a target has entered the imaged scene; or 3) a target has exited the imaged scene. A statistical analysis of the error signal is provided to show its properties and merits. Results are presented for averaged noncoherent multilook and coherent single-look X-band SAR imagery.</description><subject>Adaptive filters</subject><subject>Algorithms</subject><subject>Applied geophysics</subject><subject>Change detection</subject><subject>Change detection algorithms</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Image reconstruction</subject><subject>Imagery</subject><subject>Internal geophysics</subject><subject>Landmine detection</subject><subject>Layout</subject><subject>multilook processing</subject><subject>Radar detection</subject><subject>Signal detection</subject><subject>Signal processing</subject><subject>signal subspace processing (SSP)</subject><subject>Studies</subject><subject>Subspaces</subject><subject>Surveillance</subject><subject>Synthetic aperture radar</subject><subject>synthetic aperture radar (SAR)</subject><subject>X-band</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkctr20AQxpfSQN2k90IvotCSi5zZp3aPScgLDAE7PYt9jFylsuTuSoX891nhQCCH5jQw85tvPuYj5CuFJaVgzh5u1pslA5BLLY2R6gNZUCl1CUqIj2QB1KiSacM-kc8pPQJQIWm1IBebdtvbrkiTS3vrsfC_bb_FIuCIfmyHvmj7wv7DaLcYit3UjW03DH-Kzfm6aHe5GZ9OyFFju4RfXuox-XV99XB5W67ub-4uz1elF1SOpWusaQIq6TTljXUGsm3LHA9BCc3nWWi0ow0Hh6iq4KzyTldKorAhVPyY_Dzo7uPwd8I01rs2eew62-MwpZoZ4Fxo8T6oQTNjTAZP_wtSYEwqUTGe0e9v0MdhivlzqdZKVgCsmg_DAfJxSCliU-9jflJ8ykr1nFI9p1TPKdWHlPLKjxddm7ztmmh736bXvYprzvgs_e3AtYj4Os7uBBj-DLzfmpM</recordid><startdate>200601</startdate><enddate>200601</enddate><creator>Ranney, K.I.</creator><creator>Soumekh, M.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Averaged multilook SAR images are preferable to full-aperture SAR reconstructions when the imaging algorithm is approximation-based (e.g., polar format processing) or when motion data are not accurate over a long full aperture. We examine the application of a SAR change-detection method, known as signal subspace processing, which is based on the principles of two-dimensional adaptive filtering, and we use it to recognize the addition of surface landmines to a particular area under surveillance. We describe the change-detection problem as a trinary hypothesis testing problem, and define a change signal and its normalized version to determine whether: 1) there is no change in the imaged scene; 2) a target has entered the imaged scene; or 3) a target has exited the imaged scene. A statistical analysis of the error signal is provided to show its properties and merits. 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| identifier | ISSN: 0196-2892 |
| ispartof | IEEE transactions on geoscience and remote sensing, 2006-01, Vol.44 (1), p.201-213 |
| issn | 0196-2892 1558-0644 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive filters Algorithms Applied geophysics Change detection Change detection algorithms Earth sciences Earth, ocean, space Exact sciences and technology Image reconstruction Imagery Internal geophysics Landmine detection Layout multilook processing Radar detection Signal detection Signal processing signal subspace processing (SSP) Studies Subspaces Surveillance Synthetic aperture radar synthetic aperture radar (SAR) X-band |
| title | Signal subspace change detection in averaged multilook SAR imagery |
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