Integrated Quantitative Evaluation Method of SAR Filters

Author:

Guo Fengcheng1ORCID,Sun Chuang1,Sun Ning1,Ma Xiaoxiao1,Liu Wensong1

Affiliation:

1. The School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China

Abstract

An excellent quantitative evaluation method of SAR de-speckling filters needs to contain a comprehensive evaluation of both noise smoothing and edge preservation. However, most existing evaluation models only evaluate a single aspect, while a few comprehensive indicators lack robustness. For this reason, a novel integrated quantitative evaluation method of de-speckling filters is proposed. The proposed evaluation method is weighted by two sub-indicators: the coherent equivalent number of looks and edge preservation evaluation. The evaluation indicator of the coherent equivalent number of looks is built to evaluate the noise-smoothing ability of de-speckling filters, whereas the indicator of edge preservation evaluation is built to evaluate the edge-preserving performance of filtered image. Six filters with an excellent performance, five real synthetic aperture radar images with three bands, four polarization modes, four resolutions, and five common evaluation indexes were used in the experiment. The experimental results show that the evaluation results of the proposed evaluation method were consistent with the visual effect and other indicators, and its feasibility was verified.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Science Foundation of Jiangsu Normal University

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference35 articles.

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