Abstract
We present novel experimental evidence that demonstrates the effectiveness of exploiting scene motion information for the analysis of scene structure in maritime imaging applications. We analyze data captured by our novel airborne Multi-channel SAR (MSAR) system that is particularly suited to sampling the velocity profile of scatterers in the maritime environment. While previous works have shown the utility MSAR systems for correcting scene motion induced blurring artifacts, our work shows, for the first time, how the information furnished by an MSAR system can systematically render accurate classification of maritime scenes into different perceptual categories. We offer a methodology that is superior to traditional classification techniques that are based purely on the spatial structure of an image. Furthermore, the simplicity of the feature space involved together with the demonstrated classification performance on imagery captured by our airborne MSAR system underscore the strength of the methodology.
Highlights
Two well-known issues in synthetic aperture radar (SAR) imaging are the displacement and blurring effects caused by uncompensated motion of either the platform or the scene [1], [2]
We address a fundamental question as to whether the in-scene motion information derived from an Multi-channel SAR (MSAR) with along-track phase centers can be effectively exploited to extract higher-level perceptual information–in particular to perform scene classification
In this paper, we describe a novel and robust classification procedure for maritime scenes using an MSAR system, which provides a powerful means of detecting motion in the scene
Summary
Two well-known issues in SAR imaging are the displacement and blurring effects caused by uncompensated motion of either the platform or the scene [1], [2]. The deleterious effects of scene motion (on the quality of SAR image formation) is accentuated in maritime imaging applications where virtually every scatterer in the scene undergoes motion governed by complex physical processes that are difficult to characterize. In such cases, traditional approaches to scene induced motion compensation are known to be inadequate [5]. The additional along-track receivers provide new, independent
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