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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shkvarko, Y.V. Espadas, V.E. |
| Copyright Year | 2010 |
| Description | Author affiliation: CINVESTAV, Unidad Guadalajara Avenida Científica # 1145, Colonia El Bajío, 45015, Zapopan, Jalisco, México (Shkvarko, Y.V.; Espadas, V.E.) |
| Abstract | Increasing capability of sensor array remote sensing (RS) imagery has spurred development of various sensor/method fusion techniques for enhancing the RS images as required for end-user-oriented environmental resource management [1]–[5]. In engineering practice, it is very important, on one hand, to have some theoretical guarantees that the developed image formation and reconstruction/post-processing method can improve the image performances before its application to real systems, but on the other hand, some unified computational architecture of the image formation, reconstruction and post-processing algorithms are desired, in which case it allows coping with different RS system models. In this work, we intend to address a novel look at the enhanced RS imaging with the mm-band array radar/SAR that employ the GeoSTAR sensor array geometry [1] pursuing new descriptive experiment design regularization (DEDR) methodology [4] that aggregates the concept of sensor array design with different methods for sensor system and reconstructive imaging method fusion, and report the simulation results of different DEDR-related GeoSTAR-adapted imaging techniques using the specialized elaborated software that we refer to as “Virtual Remote Sensing Laboratory” (VRSL). |
| Starting Page | 1 |
| Ending Page | 3 |
| File Size | 467390 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424479009 |
| e-ISBN | 9781424478996 |
| DOI | 10.1109/MSMW.2010.5546017 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-21 |
| Publisher Place | Ukraine |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Arrays Imaging Radar imaging Image reconstruction Radio frequency Remote sensing Geometry |
| Content Type | Text |
| Resource Type | Article |
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