Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great potential to provide the user with a more accurate scene understanding. This will enable …
Given the large volume of remote sensing images collected daily, automatic object detection and segmentation have been a consistent need in Earth observation (EO). However, objects …
S Gui, R Qin - ISPRS Journal of Photogrammetry and Remote …, 2021 - Elsevier
Digital surface models (DSM) generated from multi-stereo satellite images are getting higher in quality owing to the improved data resolution and photogrammetric reconstruction …
H Albanwan, R Qin - The Photogrammetric Record, 2022 - Wiley Online Library
Deep‐learning (DL) stereomatching methods gained great attention in remote sensing satellite datasets. However, most of these existing studies conclude assessments based …
D Huang, Y Tang, R Qin - GIScience & Remote Sensing, 2022 - Taylor & Francis
The PlanetScope satellite constellation has over 130 Dove satellites running 24/7, which collect weekly and even daily images globally at 3–5 m resolution. It has global data …
C Stucker, K Schindler - ISPRS Journal of Photogrammetry and Remote …, 2022 - Elsevier
Modern optical satellite sensors enable high-resolution stereo reconstruction from space. But the challenging imaging conditions when observing the Earth from space push stereo …
Y Zhang, S Zou, X Liu, X Huang, Y Wan… - ISPRS Journal of …, 2022 - Elsevier
The complementary fusion of light detection and ranging (LiDAR) data and image data is a promising but challenging task for generating high-precision and high-density point clouds …
The optimal configurations for very high-resolution (VHR,< 2 m) spaceborne imagery collection to support stereogrammetry over complex forested terrain remain uncertain. We …
The capability of spaceborne stereogrammetry using very high-resolution (VHR,< 2 m) imagery with various environmental, experimental, and sensor configurations for …