[HTML][HTML] Deep-Learning for Change Detection Using Multi-Modal Fusion of Remote Sensing Images: A Review

S Saidi, S Idbraim, Y Karmoude, A Masse, M Arbelo - Remote Sensing, 2024 - mdpi.com
Remote sensing images provide a valuable way to observe the Earth's surface and identify
objects from a satellite or airborne perspective. Researchers can gain a more …

Optimized faster R-CNN for oil wells detection from high-resolution remote sensing images

Z Wang, L Bai, G Song, Y Zhang, M Zhu… - … Journal of Remote …, 2023 - Taylor & Francis
As the oil and gas industry is crucial to the global energy market, policymakers need
accurate information about local oil reserves and the harmful environmental effects of …

A deep learning based platform for remote sensing images change detection integrating crowdsourcing and active learning

Z Wang, J Zhang, L Bai, H Chang, Y Chen, Y Zhang… - Sensors, 2024 - mdpi.com
Remote sensing images change detection technology has become a popular tool for
monitoring the change type, area, and distribution of land cover, including cultivated land …

Deep Recurrent Residual U-Net with Semi-Supervised Learning for Deforestation Change Detection

I Bidari, S Chickerur - Sn Computer Science, 2024 - Springer
Abstract “Deforestation” refers to the systematic removal of trees from forests to facilitate
significant human activities. Expansion of agriculture, infrastructure and logging are the main …

Using difference features effectively: A multi-task network for exploring change areas and change moments in time series remote sensing images

J Li, C Wu - ISPRS Journal of Photogrammetry and Remote …, 2024 - Elsevier
With the rapid advancement in remote sensing Earth observation technology, an abundance
of Time Series multispectral remote sensing Images (TSIs) from platforms like Landsat and …

[HTML][HTML] Forecasting Worldwide Temperature from Amazon Rainforest Deforestation Using a Long-Short Term Memory Model

D Dominguez, J Barriuso Pastor, O Pantoja-Díaz… - Sustainability, 2023 - mdpi.com
Biosphere–atmosphere interactions are a critical component of the Earth's climate system.
Many of these interactions are currently contributing to temperature increases and …

Detection of over-ground petroleum and gas pipelines from optical remote sensing images

H Chang, L Bai, Z Wang, M Wang… - Image and Signal …, 2023 - spiedigitallibrary.org
Petroleum and gas pipelines, comprising petroleum and gas pipes and related components,
play an irreplaceable role in petroleum and gas transportation. For global economic growth …

Photovoltaic installations change detection from remote sensing images using deep learning

K Shi, L Bai, Z Wang, X Tong… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
The development and monitoring of Photovoltaic (PV) installations is of great interests for the
Chinese energy management agency in recent years. The traditional land change detection …

Application of an improved u-net neural network on fracture segmentation from outcrop images

Z Wang, Z Zhang, L Bai, Y Yang… - IGARSS 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Outcrop records contain very rich geological historical information, and the study of fractures
in outcrop areas is an important part of geological exploration work. The accurate fracture …

Semantic segmentation of oil well sites using Sentinel-2 imagery

H Wu, H Dong, Z Wang, L Bai, F Huo… - IGARSS 2023-2023 …, 2023 - ieeexplore.ieee.org
The number and geographical location of oil well sites can reflect the local oil production
situation and there is a growing interest in automatically identifying oil well sites from remote …