DETECTION OF TARGETS IN POLARIMETRIC RADAR IMAGES USING ORTHOGONAL SUBSPACE PROJECTION

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BORDBARI R.; MAGHSOUDI Y.

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Paper Information

Journal: JOURNAL OF RADAR Year:2017 | Volume:5 | Issue:2 (SERIAL NO. 16) Page(s): 15-26

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Information Journal Paper

Title

DETECTION OF TARGETS IN POLARIMETRIC RADAR IMAGES USING ORTHOGONAL SUBSPACE PROJECTION

Author(s)

BORDBARI R. | MAGHSOUDI Y. | Issue Writer Certificate

Keywords

REMOTE SENSINGQ3

POLARIMETRIC RADARQ1

TARGET DETECTIONQ1

PROJECTIONQ1

ORTHOGONAL SUBSPACEQ1

Abstract

Detection and characterization of the constituent scatterers for each pixel in the scene is one of the fundamental goals of microwave REMOTE SENSING. Compared with synthetic aperture radar (SAR) sensing, polarimetric SAR (PolSAR) sensing has finer details of the scattering properties of targets and natural background; therefore, it can increase the detectability of single and partial targets. In this paper, a new and fresh look at the TARGET DETECTION issue is taken and an effective technique which simultaneously annihilates interfering background is developed that detects the presence of a scattering mechanism of interest. Several canonical scattering mechanisms are assumed as our signal sources whose combination forms scattering vector of each pixel with appropriate weight fractions. Using this technique leads to the exact detection of partial targets and build-up areas.

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APA: Copy

BORDBARI, R., & MAGHSOUDI, Y.. (2017). DETECTION OF TARGETS IN POLARIMETRIC RADAR IMAGES USING ORTHOGONAL SUBSPACE PROJECTION. JOURNAL OF RADAR, 5(2 (SERIAL NO. 16) ), 15-26. SID. https://sid.ir/paper/244154/en

Vancouver: Copy

BORDBARI R., MAGHSOUDI Y.. DETECTION OF TARGETS IN POLARIMETRIC RADAR IMAGES USING ORTHOGONAL SUBSPACE PROJECTION. JOURNAL OF RADAR[Internet]. 2017;5(2 (SERIAL NO. 16) ):15-26. Available from: https://sid.ir/paper/244154/en

IEEE: Copy

R. BORDBARI, and Y. MAGHSOUDI, “DETECTION OF TARGETS IN POLARIMETRIC RADAR IMAGES USING ORTHOGONAL SUBSPACE PROJECTION,” JOURNAL OF RADAR, vol. 5, no. 2 (SERIAL NO. 16) , pp. 15–26, 2017, [Online]. Available: https://sid.ir/paper/244154/en

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