1 code implementation • Remote Sensing 2022 • Riccardo La Grassa, Ignazio Gallo, Cristina Re, Gabriele Cremonese, Nicola Landro, Claudio Pernechele, Emanuele Simioni, Mattia Gatti
In this paper, we combine these last two concepts into a single end-to-end model and introduce a new generative adversarial network solution that estimates the DTM at 4× resolution from a single monocular image, called SRDiNet (super-resolution depth image network).
Ranked #1 on Depth Estimation on Mars DTM Estimation
Generative Adversarial Network Monocular Depth Estimation +2
no code implementations • Remote Sensing 2021 • Yu Tao, Siting Xiong, Susan J. Conway, Jan-Peter Muller, Anthony Guimpier, Peter Fawdon, Nicolas Thomas, Gabriele Cremonese
The resultant MADNet 8 m/pixel CaSSIS DTMs are qualitatively very similar to the 1 m/pixel HiRISE DTMs.
1 code implementation • 3 Jul 2017 • Stepan Tulyakov, Anton Ivanov, Nicolas Thomas, Victoria Roloff, Antoine Pommerol, Gabriele Cremonese, Thomas Weigel, Francois Fleuret
There are many geometric calibration methods for "standard" cameras.