Deep learning-based change detection in remote sensing images: A review

A Shafique, G Cao, Z Khan, M Asad, M Aslam - Remote Sensing, 2022 - mdpi.com
Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …

Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions

D Wen, X Huang, F Bovolo, J Li, X Ke… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
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 …

Shadow Detection on High-Resolution Digital Orthophoto Map (DOM) using Semantic Matching

G Zhou, Y Tang, W Zhang, W Liu… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Shadow detection and compensation on high-resolution orthophoto is one of the most
important tasks for ensuring the high quality of the radiometric balance of a digital …

Mindful application of digitalization for sustainable development: The Digitainability Assessment Framework

S Gupta, J Rhyner - Sustainability, 2022 - mdpi.com
Digitalization is widely recognized as a transformative power for sustainable development.
Careful alignment of progress made by digitalization with the globally acknowledged …

Mapping of coral reefs with multispectral satellites: a review of recent papers

T Nguyen, B Liquet, K Mengersen, D Sous - Remote Sensing, 2021 - mdpi.com
Coral reefs are an essential source of marine biodiversity, but they are declining at an
alarming rate under the combined effects of global change and human pressure. A precise …

AgroShadow: A new Sentinel-2 cloud shadow detection tool for precision agriculture

R Magno, L Rocchi, R Dainelli, A Matese… - Remote Sensing, 2021 - mdpi.com
Remote sensing for precision agriculture has been strongly fostered by the launches of the
European Space Agency Sentinel-2 optical imaging constellation, enabling both academic …

An approach for shadow detection in aerial images based on multi-channel statistics

G Alvarado-Robles, RA Osornio-Rios… - IEEE …, 2021 - ieeexplore.ieee.org
Shadows are likely to cause flaws in color interpretation, loss of image information or
deformation of objects; this is a relevant issue owing to the fact that with the development of …

A new classification scheme for urban impervious surface extraction from UAV data

A Abdolkhani, S Attarchi, SK Alavipanah - Earth Science Informatics, 2024 - Springer
Urban planning and comprehensive understanding of human-environmental interactions
within cities require precise and up-to-date information of urban impervious surfaces. In this …

Burst pressure prediction of cylindrical vessels using artificial neural network

A Zolfaghari, M Izadi - Journal of Pressure Vessel …, 2020 - asmedigitalcollection.asme.org
Pressure vessel plays an important role in wide range of applications to store gas or liquid
substances. In order to design a pressure vessel safely, one of the main factors which has to …

An object-based shadow detection method for building delineation in high-resolution satellite images

D Sharma, J Singhai - PFG–Journal of Photogrammetry, Remote Sensing …, 2019 - Springer
In satellite image analysis, detection of shadow plays a critical role in the precise object
detection applications. The size and intensity of shadow vary with solar illumination angle …