Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions
Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
[HTML][HTML] Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry
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 …
potential to provide the user with a more accurate scene understanding. This will enable …
[HTML][HTML] Remote sensing object detection in the deep learning era—a review
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 …
and segmentation have been a consistent need in Earth observation (EO). However, objects …
Automated LoD-2 model reconstruction from very-high-resolution satellite-derived digital surface model and orthophoto
Digital surface models (DSM) generated from multi-stereo satellite images are getting higher
in quality owing to the improved data resolution and photogrammetric reconstruction …
in quality owing to the improved data resolution and photogrammetric reconstruction …
A comparative study on deep‐learning methods for dense image matching of multi‐angle and multi‐date remote sensing stereo‐images
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 …
satellite datasets. However, most of these existing studies conclude assessments based …
An evaluation of PlanetScope images for 3D reconstruction and change detection–experimental validations with case studies
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 …
collect weekly and even daily images globally at 3–5 m resolution. It has global data …
[HTML][HTML] ResDepth: A deep residual prior for 3D reconstruction from high-resolution satellite images
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 …
But the challenging imaging conditions when observing the Earth from space push stereo …
Lidar-guided stereo matching with a spatial consistency constraint
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 …
promising but challenging task for generating high-precision and high-density point clouds …
[HTML][HTML] Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry:(II) optimizing acquisition configurations
The optimal configurations for very high-resolution (VHR,< 2 m) spaceborne imagery
collection to support stereogrammetry over complex forested terrain remain uncertain. We …
collection to support stereogrammetry over complex forested terrain remain uncertain. We …
[HTML][HTML] Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry:(I) methods and comparisons with actual data
The capability of spaceborne stereogrammetry using very high-resolution (VHR,< 2 m)
imagery with various environmental, experimental, and sensor configurations for …
imagery with various environmental, experimental, and sensor configurations for …