Performance of Speckle Filters for COSMO-SkyMed Images From the Brazilian Amazon

被引：5

作者：

Kuck, Tahisa N. ^{[1
]}

Gomez, Luis D. ^{[2
]}

Sano, Edson E. ^{[3
]}

Bispo, Polyanna da C. ^{[4
]}

Honorio, Douglas D. C. ^{[1
]}

机构：

[1] Inst Adv Studies IEAv, BR-12228001 Sao Jose Dos Campos, Brazil

[2] Univ Las Palmas Gran Canaria, Dept Elect Engn & Automat DIEA, Las Palmas Gran Canaria 35017, Spain

[3] Embrapa Cerrados, BR-73310970 Brasilia, DF, Brazil

[4] Univ Manchester, Sch Environm Educ & Dev, Dept Geog, Manchester M13 9PL, Lancs, England

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2022年 / 19卷

关键词：

SAR images; speckle filtering; tropical forest; X-band;

D O I：

10.1109/LGRS.2021.3057263

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Speckle filtering is an important step for target detection in SAR images since this effect makes it difficult or even impossible to extract information from these images. There are several filters available in the literature although evaluating their performances is not a trivial task since it requires comparing the filtered images with a speckle-free image, which is generally unknown. This evaluation is even more complex when the features in the images are heterogeneous, for example, from tropical forests. The objective of this study is to evaluate the performance of the Lee, deGrandi, GammaMAP, single Anisotropic Nonlinear Diffusion (ANLD), multitemporal ANLD, Fast Adaptive Nonlocal SAR (FANS), and Fast GPU-Based Enhanced Wiener filters to reduce the speckle present in the COSMO-SkyMed Stripmap X-band images from the Brazilian Amazon forest region. The evaluation was conducted qualitatively through the visual inspection of the ratio image and the edge detection in the ratio images and quantitatively through the alpha beta estimator and other statistical parameters of the filtered images. The GammaMAP filter showed the best performances, both qualitatively and quantitatively, and the FANS filter only qualitative.

引用

页数：5

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