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Automated detection of Martian gullies from HiRISE imagery / Wei Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 12 (December 2015)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 12 (December 2015) . - pp 913 - 920 Titre : Automated detection of Martian gullies from HiRISE imagery Type de document : Article/Communication Auteurs : Wei Li, Auteur ; Kaichang Di, Auteur ; Zongyu Yue, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 913 - 920 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] détection de cible [Termes IGN] image HiRISE [Termes IGN] Mars (planète) [Termes IGN] morphologie Résumé : (auteur) Gully is a type of young geological feature on the Martian surface, and the study of gullies can significantly contribute to understanding of the geologic history of Martian surface. As a large amount of high-resolution orbital images have been acquired, manual identification and extraction of all gullies is tedious and prohibitively time consuming. Therefore, it is desirable to develop automated methods for detection of Martian gullies to support scientific studies of the gullies. This paper presents an automated gully detection method based on mathematical morphology techniques. The method integrates a series of morphological operators, including area opening and closing, Bottom-Hat transformation, and path opening. Experimental results using HiRISE images at six sites demonstrate promising performance with detection percentage from 76 percent to 94 percent Numéro de notice : A2015-991 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.12.913 En ligne : https://doi.org/10.14358/PERS.81.12.913 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80272 [article]