A fast and reliable change detection feature from bi-temporal amplitude SAR images

Andrea Garzelli; Claudia Zoppetti

doi:10.1117/12.2194441

15 October 2015 A fast and reliable change detection feature from bi-temporal amplitude SAR images

Andrea Garzelli, Claudia Zoppetti

Proceedings Volume 9643, Image and Signal Processing for Remote Sensing XXI; 964311 (2015) https://doi.org/10.1117/12.2194441
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

In this paper, we propose a change detection feature for an amplitude SAR image pair, based on both information theoretic (IT) assumptions and a CFAR criterion derived from the probabilistic model of the ratio image. In particular, the proposed method aims to introduce two main improvements with respect to the previous IT-based approaches. The first goal is to find a strategy to adaptively quantize the 2-D scatterplot instead of applying clustering. This is carried out by performing a preliminary partition of the image pixels according to a constant false alarm rate criterion that is based on the probabilistic model of the ratio image. The second goal is to test the proposed method in order to assess reliable performances in case of severe speckle noise and in case of small percentage of change within the scene. Therefore, experimental results have been carried out with simulated changes applied to synthetically-generated 1-look SAR images produced from an optical remote sensing image. True Cosmo-SkyMed SAR images have been also considered on a damage assessment scenario.

Citation Download Citation

Andrea Garzelli and Claudia Zoppetti "A fast and reliable change detection feature from bi-temporal amplitude SAR images", Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 964311 (15 October 2015); https://doi.org/10.1117/12.2194441

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KEYWORDS

Synthetic aperture radar

Quantization

Ruthenium

Buildings

Image segmentation

Lawrencium

Lutetium

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