高分辨率无人机SAR高频变化检测——初步成果

A. Bekar, M. Antoniou, C. Baker
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引用次数: 0

摘要

本文介绍了高分辨率(6×30cm)近程无人机雷达系统的SAR成像和变化检测的初步结果。提出了一种基于高度、视角和距离等SAR系统主要参数的混合变化检测方法。这些用于确定衍生的变化检测灵敏度,并识别和量化图像去相关,这是变化检测性能的基本度量。本文还概述了用于生成不连贯/连贯变化图的算法。为了在实际基础上检验这种方法的变化检测,首次使用了高分辨率24 GHz无人机机载SAR系统,以基于真实世界的实验来演示和量化性能。
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Change Detection for High-Resolution Drone-Borne SAR at High Frequencies - First Results
This paper presents initial results of SAR imaging and change detection for a high-resolution (6×30cm), short-range drone-borne radar system. A novel hybrid approach to change detection is developed using the main SAR system parameters of altitude, look angle, and range to the scene center. These are used to determine the derived change detection sensitivity and to identify and quantify image decorrelation, a basic measure of change detection performance. An overview of the algorithm developed to generate incoherent/coherent change maps is also presented. In order to examine this approach to change detection on a practical basis, a high-resolution 24 GHz drone-borne SAR system is used, for the first time, to demonstrate and quantify performance based on real-world experiments.
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