Comparison of Filters Dedicated to Speckle Suppression in SAR Images
PBN-AR
Instytucja
Wydział Geodezji i Kartografii (Politechnika Warszawska)
Źródłowe zdarzenia ewaluacyjne
Informacje podstawowe
Główny język publikacji
en
Czasopismo
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN
1682-1750
EISSN
Wydawca
International Society for Photogrammetry and Remote Sensing
DOI
Rok publikacji
2016
Numer zeszytu
XLI-B7
Strony od-do
269-276
Numer tomu
Liczba arkuszy
0.5
Autorzy
(liczba autorów: 1)
Słowa kluczowe
en
SAR Images, Radar Images, Filtering, Mathematical Morphology, Speckle Suppression
Konferencja
Indeksowana w Scopus
nie
Indeksowana w Web of Science Core Collection
tak
Liczba cytowań z Web of Science Core Collection
Nazwa konferencji (skrócona)
XXIII ISPRS Congress
Nazwa konferencji
XXIII International Society for Photogrammetry and Remote Sensing Congress
Początek konferencji
2016-07-12
Koniec konferencji
2016-07-19
Lokalizacja konferencji
Prague
Kraj konferencji
CZ
Lista innych baz czasopism i abstraktów w których była indeksowana
Streszczenia
Język
en
Treść
This paper presents the results of research on the effectiveness of different filtering methods dedicated to speckle suppression in SAR images. The tests were performed on RadarSat-2 images and on an artificial image treated with simulated speckle noise. The research analysed the performance of particular filters related to the effectiveness of speckle suppression and to the ability to preserve image details and edges. Speckle is a phenomenon inherent to radar images – a deterministic noise connected with land cover type, but also causing significant changes in digital numbers of pixels. As a result, it may affect interpretation, classification and other processes concerning radar images. Speckle, resembling “salt and pepper” noise, has the form of a set of relatively small groups of pixels of values markedly different from values of other pixels representing the same type of land cover. Suppression of this noise may also cause suppression of small image details, therefore the ability to preserve the important parts of an image, was analysed as well. In the present study, selected filters were tested, and methods dedicated particularly to speckle noise suppression: Frost, Gamma-MAP, Lee, Lee-Sigma, Local Region, general filtering methods which might be effective in this respect: Mean, Median, in addition to morphological filters (alternate sequential filters with multiple structuring element and by reconstruction). The analysis presented in this paper compared the effectiveness of different filtering methods. It proved that some of the dedicated radar filters are efficient tools for speckle suppression, but also demonstrated a significant efficiency of the morphological approach, especially its ability to preserve image details.
Inne
System-identifier
WUT4ce8e12f4f2740e08388d7c9cf963f6f
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