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[HTML][HTML] Deep-Learning for Change Detection Using Multi-Modal Fusion of Remote Sensing Images: A Review
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 …
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 …
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 …
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
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 …
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
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 …
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
Biosphere–atmosphere interactions are a critical component of the Earth's climate system.
Many of these interactions are currently contributing to temperature increases and …
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 …
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 …
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 …
in outcrop areas is an important part of geological exploration work. The accurate fracture …
Semantic segmentation of oil well sites using Sentinel-2 imagery
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 …
situation and there is a growing interest in automatically identifying oil well sites from remote …