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 …
Modeling the impact of 2D/3D urban indicators on the urban heat island over different seasons: A boosted regression tree approach
Understanding how complex urban factors affect the Urban Heat Island (UHI) is crucial for
assessing the impacts of urban planning and environmental management on the thermal …
assessing the impacts of urban planning and environmental management on the thermal …
A review of 3D reconstruction from high-resolution urban satellite images
L Zhao, H Wang, Y Zhu, M Song - International Journal of Remote …, 2023 - Taylor & Francis
Automated 3D reconstruction based on satellite images has become a research hotspot at
the interdisciplinary of photogrammetry and computer vision. The 3D results based on …
the interdisciplinary of photogrammetry and computer vision. The 3D results based on …
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 …
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 …
Geometry-aware satellite-to-ground image synthesis for urban areas
We present a novel method for generating panoramic street-view images which are
geometrically consistent with a given satellite image. Different from existing approaches that …
geometrically consistent with a given satellite image. Different from existing approaches that …
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 …
A critical analysis of satellite stereo pairs for digital surface model generation and a matching quality prediction model
R Qin - ISPRS Journal of Photogrammetry and Remote …, 2019 - Elsevier
The geometric analysis and data acquisition of satellite photogrammetric images are often
regarded as a direct extension of traditional aerial photogrammetry, with the only difference …
regarded as a direct extension of traditional aerial photogrammetry, with the only difference …
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 …
A multikernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classification
Labeling remote sensing data for classification is labor-intensive and time-consuming.
Transfer learning (TL), under such context, is attracting increasing attention as it aims to …
Transfer learning (TL), under such context, is attracting increasing attention as it aims to …