68 citations · 730 across the 54 of their papers we have counts for
4 papers · 1 filter
-Net: Superresolving SAR Tomographic Inversion via Deep Learning
Kun Qian, Yuanyuan Wang, Yilei Shi +1
Synthetic aperture radar tomography (TomoSAR) has been extensively employed in 3-D reconstruction in dense urban areas using high-resolution SAR acquisitions. Compressive sensing (…
THE Benchmark: Transferable Representation Learning for Monocular Height Estimation
Zhitong Xiong, Wei Huang, Jingtao Hu +1
Generating 3D city models rapidly is crucial for many applications. Monocular height estimation is one of the most efficient and timely ways to obtain large-scale geometric informa…
Lebanon Solar Rooftop Potential Assessment using Buildings Segmentation from Aerial Images
Hasan Nasrallah, Abed Ellatif Samhat, Yilei Shi +3
Estimating solar rooftop potential at a national level is a fundamental building block for every country to utilize solar power efficiently. Solar rooftop potential assessment reli…
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
Lei Ding, Hao Tang, Yahui Liu +3
Building extraction in VHR RSIs remains a challenging task due to occlusion and boundary ambiguity problems. Although conventional convolutional neural networks (CNNs) based method…