[HTML][HTML] Semantic segmentation of agricultural images: A survey
Z Luo, W Yang, Y Yuan, R Gou, X Li - Information Processing in Agriculture, 2023 - Elsevier
As an important research topic in recent years, semantic segmentation has been widely
applied to image understanding problems in various fields. With the successful application …
applied to image understanding problems in various fields. With the successful application …
[HTML][HTML] TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping
Deforestation has become a major cause of climate change, and as a result, both
characterizing the drivers and estimating segmentation maps of deforestation have piqued …
characterizing the drivers and estimating segmentation maps of deforestation have piqued …
[HTML][HTML] An attention-based U-Net for detecting deforestation within satellite sensor imagery
D John, C Zhang - International Journal of Applied Earth Observation and …, 2022 - Elsevier
In this paper, we implement and analyse an Attention U-Net deep network for semantic
segmentation using Sentinel-2 satellite sensor imagery, for the purpose of detecting …
segmentation using Sentinel-2 satellite sensor imagery, for the purpose of detecting …
[HTML][HTML] FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net
Abstract Forest Change Detection (FCD) is a critical component of natural resource
monitoring and conservation strategies, enabling informed decision-making. Various …
monitoring and conservation strategies, enabling informed decision-making. Various …
Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images
Infrastructure development is a leading driver of forest cover loss in the tropics, resulting in a
significant decrease in biodiversity. With recent advancements in digital image processing …
significant decrease in biodiversity. With recent advancements in digital image processing …
Monitoring deforestation in Jordan using deep semantic segmentation with satellite imagery
A Alzu'bi, L Alsmadi - Ecological Informatics, 2022 - Elsevier
Jordan is witnessing major transformations in its environmental and topographic features,
where the desert dominates a large part of the territory, with very limited forest areas. Over …
where the desert dominates a large part of the territory, with very limited forest areas. Over …
[HTML][HTML] Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models
Nowadays Earth observation satellites provide forest fire authorities and resource managers
with spatial and comprehensive information for fire stabilization and recovery. Burn severity …
with spatial and comprehensive information for fire stabilization and recovery. Burn severity …
Deforestation detection using a spatio-temporal deep learning approach with synthetic aperture radar and multispectral images
Deforestation is a global change driver that contributes to atmospheric carbon emissions,
causes biodiversity loss and ecosystem services degradation. Usually, this process has …
causes biodiversity loss and ecosystem services degradation. Usually, this process has …
Semi-FCMNet: Semi-supervised learning for forest cover mapping from satellite imagery via ensemble self-training and perturbation
B Chen, L Wang, X Fan, W Bo, X Yang, T Tjahjadi - Remote Sensing, 2023 - mdpi.com
Forest cover mapping is of paramount importance for environmental monitoring, biodiversity
assessment, and forest resource management. In the realm of forest cover mapping …
assessment, and forest resource management. In the realm of forest cover mapping …
The accuracy of winter wheat identification at different growth stages using remote sensing
The aim of this study was to explore the differences in the accuracy of winter wheat
identification using remote sensing data at different growth stages using the same methods …
identification using remote sensing data at different growth stages using the same methods …