ISAR image analysis using the curvelet transform

Hedley Morris; Monica M. De Pass

doi:10.1117/12.665909

5 May 2006 ISAR image analysis using the curvelet transform

Hedley Morris, Monica M. De Pass

Proceedings Volume 6209, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III; 620908 (2006) https://doi.org/10.1117/12.665909
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Cheney and Borden [1] and Cheney and Nolan [2] have proposed that target identification may be achieved by an analysis of the microlocal structure of their ISAR images. To implement their idea, a Radon transform approach was used [3]. Noise is a problem for the Radon transform and consequently a more robust method against noise is preferable. Candes and Donohoe have investigated the use of the Curvelet transform for Radon data with noise [4] and have shown it to be superior to traditional methods. In this paper, we use simulated ISAR data to investigate the ability of the Curvelet transform to recognize different types of scattering elements in a low signal-to-noise environment.

Citation Download Citation

Hedley Morris and Monica M. De Pass "ISAR image analysis using the curvelet transform", Proc. SPIE 6209, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III, 620908 (5 May 2006); https://doi.org/10.1117/12.665909

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