Detection of Detached Ice-fragments at Martian Polar Scarps Using a Convolutional Neural Network

Detection of Detached Ice-fragments at Martian Polar Scarps Using a Convolutional Neural Network

Repeated high-resolution imaging has revealed current mass wasting in the form of ice block falls at steep scarps of Mars. However, both the accuracy and efficiency of ice-fragments’ detection are limited when using conventional computer vision methods. Existing deep learning methods suff...

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Bibliographic Details
Main Authors: Shu Su, Lida Fanara, Haifeng Xiao, Ernst Hauber, Jurgen Oberst
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Change detection (CD)
convolutional neural network (CNN)
ice-fragment
image segmentation
Mars
scarp
Online Access:https://ieeexplore.ieee.org/document/10024321/

Internet

https://ieeexplore.ieee.org/document/10024321/

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