%0 Journal Article %T Assessment of Wind Direction Estimation Methods from SAR Images %+ Lab-STICC_ENSTAB_MOM_PIM %A Corazza, Alexandre %A Khenchaf, Ali %A Comblet, Fabrice %Z European Space Agency ; Ministère de l'Enseignement Supérieur et de la Recherche ; European Regional Development Fund %< avec comité de lecture %@ 2072-4292 %J Remote Sensing %I MDPI %V 12 %N 21 %P 3631-1 - 3631-16 %8 2020-11-05 %D 2020 %R 10.3390/rs12213631 %K Histogram of Oriented Gradient %K Marine remote-sensing %K SAR images %K Spatial wavelet transform %K Wind retrieval %Z Computer Science [cs]/Signal and Image Processing %Z Sciences of the Universe [physics]/Earth Sciences/OceanographyJournal articles %X Wind information on SAR images are essential to characterize a marine environment in offshore or coastal area. More and more applications require high resolution wind field estimation. In this article, classical wind wave direction estimation methods are reviewed as the spectral or gradient approaches. In addition, a way to enhance the spectral method with the Radon transform is proposed. The aim of this document is to determine which method provides greatest results when the resolution grid is finer. Therefore, the methods accuracy, fidelity and uncertainty are compared through a simulation study, a section with RadarSAT2 data in coastal area and another one with Sentinel-1 measurements in offshore area. %G English %2 https://ensta-bretagne.hal.science/hal-03028386/document %2 https://ensta-bretagne.hal.science/hal-03028386/file/remotesensing-12-03631.pdf %L hal-03028386 %U https://ensta-bretagne.hal.science/hal-03028386 %~ UNIV-BREST %~ INSTITUT-TELECOM %~ ENSTA-BRETAGNE %~ CNRS %~ UNIV-UBS %~ ENSTA-BRETAGNE-STIC %~ GIP-BE %~ ENIB %~ LAB-STICC %~ INSTITUTS-TELECOM