Speckle reduction for Sentinel-1A SAR images in the Semi-arid caatinga region, Brazil



Título del documento: Speckle reduction for Sentinel-1A SAR images in the Semi-arid caatinga region, Brazil
Revista: Boletim de ciencias geodesicas
Base de datos: PERIÓDICA
Número de sistema: 000458635
ISSN: 1413-4853
Autors: 1
2
3
4
5
Institucions: 1Universidade Federal de Sergipe, Programa de Pos-Graduacao em Recursos Hidricos, Sao Cristovao, Rio de Janeiro. Brasil
2Instituto Nacional de Pesquisas Espaciais, Coordenacao Espacial do Sul, Sao Jose dos Campos, Sao Paulo. Brasil
3Centro Brasileiro de Pesquisa em Avaliacao e Selecao e de Promocao de Eventos, Coordenacao de Processamento de Dados e Resultados, Brasilia, Distrito Federal. Brasil
4Instituto Federal de Educacao, Ciencia e Tecnologia do Rio Grande do Sul, Departamento de Ensino, Osorio, Rio Grande do Sul. Brasil
5Imagem Geosistemas, Sao Jose dos Campos, Sao Paulo. Brasil
Any:
Volum: 29
Número: 3
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés Due to the absence of studies related to the digital processing of synthetic aperture radar (SAR) images in the semi-arid region of Brazil, the aim of this study was to test different filters for reducing speckle noise in SAR images, serving as a reference for choosing the most suitable filter for different studies in this vegetation. The filters: Gamma Map, Lee Sigma, Median, Frost and Refined Lee in different window sizes were tested on the VV, VH and VH/VV polarizations in the Sentinel-1A images, verifying the responses under the influence of the dry and post-rainy period in the Caatinga vegetation. In the state of Sergipe, Brazil, 30 samples of Caatinga fragments obtained from Sentinel-1A images for the dry and post-rainy season were selected. For all images evaluated, the values of the averages of the equivalent number of looks (ENL) were compared by the Tukey test at 5% significance. The Gamma filter showed the highest amount of means (22) with the highest ENL values, followed by Median (5). The generation of ENL results and their comparison, considering all variables used, was essential to serve as a basis for choosing the filtering method in studies that use data from Sentinel-1A in the Caatinga region
Disciplines Geociencias
Paraules clau: Cartografía,
Procesamiento de imágenes digitales,
Ruido,
Radar de apertura sintética,
Bosque seco tropical,
Brasil
Keyword: Cartography,
Brazil,
Digital image processing,
Noise,
Synthetic aperture radar,
Tropical dry forest
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