Mars DTM Estimation
Introduced by Grassa et al. in An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars
This dataset is useful for doing research in the field of mars surface monocular depth estimation. The dataset is composed of 250k patches where each patch is a 3-channels 512 x 512 raster. The first two channels are respectively left and right images of the stereo pair while the third channel is the DTM. Because DTMs are saved with absolute values you have to preprocess in case you want to predict relative values. The Dataset size is 800 GB.
Benchmarks
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Mars DTM Estimation
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GLPDepth
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Papers
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