Towards Multi-Task Height Estimation from Monocular Remote Sensing Imagery
Author:
Affiliation:
1. Sup’Com, Carthage University,Tunisia
2. Digital Research Center of Sfax,Sm@rts Laboratory,Tunisia
3. Mainz University of Applied Sciences,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641293.pdf?arnumber=10641293
Reference17 articles.
1. Extraction of digital elevation models from satellite stereo images through stereo matching based on epipolarity and scene geometry
2. DEM generation from Worldview-2 stereo imagery and vertical accuracy assessment for its application in active tectonics
3. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
4. IM2HEIGHT: Height estimation from single monocular imagery via fully residual convolutional-deconvolutional network;Mou,2018
5. Towards monocular digital elevation model (DEM) estimation by convolutional neural networks -application on synthetic aperture radar images;Costante;EU-SAR 2018,2018
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