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 …
DSM and DTM generation from VHR satellite stereo imagery over plastic covered greenhouse areas
Abstract Agriculture under Plastic Covered Greenhouses (PCG) has represented a step
forward in the evolution from traditional to industrial farming. However, PCG-based …
forward in the evolution from traditional to industrial farming. However, PCG-based …
[HTML][HTML] A general deep learning based framework for 3D reconstruction from multi-view stereo satellite images
In this paper, we propose a general deep learning based framework, named Sat-MVSF, to
perform three-dimensional (3D) reconstruction of the Earth's surface from multi-view optical …
perform three-dimensional (3D) reconstruction of the Earth's surface from multi-view optical …
Tree, shrub, and grass classification using only RGB images
In this work, a semantic segmentation-based deep learning method, DeepLabV3+, is
applied to classify three vegetation land covers, which are tree, shrub, and grass using only …
applied to classify three vegetation land covers, which are tree, shrub, and grass using only …
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 …
Survey on path and view planning for UAVs
Background In recent decades, unmanned aerial vehicles (UAVs) have developed rapidly
and been widely applied in many domains, including photography, reconstruction …
and been widely applied in many domains, including photography, reconstruction …