Advances in automated detection of sand dunes on Mars-Reference-Cited by-同舟云学术

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Advances in automated detection of sand dunes on Mars

Published:2012-09-27 Issue:3 Volume:38 Page:275-283
ISSN:0197-9337
Container-title:Earth Surface Processes and Landforms
language:en
Short-container-title:Earth Surf. Process. Landforms

Author:

Bandeira Lourenço¹,Marques Jorge S.²,Saraiva José¹,Pina Pedro¹

Affiliation:

1. CERENA-Centro de Recursos Naturais e Ambiente; Instituto Superior Técnico; Lisboa; Portugal

2. ISR - Instituto de Sistemas e Robótica; Instituto Superior Técnico; Lisboa; Portugal

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Earth-Surface Processes,Geography, Planning and Development

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/esp.3323/fullpdf

Reference16 articles.

1. Lecture Notes in Computer Science vol. 6112;Bandeira,2010

2. Automated detection of Martian dune fields;Bandeira;IEEE Geoscience and Remote Sensing Letters,2011

3. Nearest neighbor analysis of mega-barchanoid dunes, Ar Rub' al Khali, sand sea: the application of geographical indices to the understanding of dune field self-organization, maturity and environmental change;Bishop;Geomorphology,2010

4. A comparison of methods used to estimate the height of sand dunes on Mars;Bourke;Geomorphology,2006

5. Extraterrestrial dunes: an introduction to the special issue on planetary dune systems;Bourke;Geomorphology,2010

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1. Investigating palaeodune orientations and contemporary wind regimes in Southeast Kazakhstan using a semi‐automated mapping framework;Earth Surface Processes and Landforms;2024-08-29

2. Remote sensing techniques in the investigation of aeolian sand dunes: A review of recent advances;Remote Sensing of Environment;2022-03

3. NOAH-H, a deep-learning, terrain classification system for Mars: Results for the ExoMars Rover candidate landing sites;Icarus;2022-01

4. Multisource Classification of Meridiani Planum's Aeolian Landscape Using HiRISE and Opportunity Images Analysis Based on Deep Learning;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

5. Automatic Detection and Segmentation of Barchan Dunes on Mars and Earth Using a Convolutional Neural Network;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2021

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