Deep-learning-based single-image height reconstruction from very-high-resolution SAR intensity data

Author:

Recla Michael,Schmitt Michael

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference19 articles.

1. Airbus Defence and Space, 2014. TerraSAR-X image product guide – basic and enhanced radar satellite imagery.

2. Height estimation from single aerial images using a deep convolutional encoder-decoder network;Amirkolaee;ISPRS J. Photogram. Remote Sens.,2019

3. Depth map prediction from a single image using a multi-scale deep network;Eigen,2014

4. Eineder, M., Fritz, T., Mittermayer, J., Roth, A., Boerner, E., Breit, H., 2008. TerraSAR-X ground segment, basic product specification document.

5. Vision meets robotics: The KITTI dataset;Geiger;The International Journal of Robotics Research,2013

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