HistSegNet: Histogram Layered Segmentation Network for SAR Image Based Flood Segmentation

I Turkmenli, E Aptoula, K Kayabol - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Floods are one of the most common natural disasters, causing fatalities and severe
economic and environmental impacts, directly affecting agriculture, urban infrastructure, and …

Efficient feature relation learning network for cross-spectral image patch matching

C Yu, J Zhao, Y Liu, S Wu, C Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, cross-spectral image patch matching methods based on feature difference
aggregation have achieved excellent performance, but they introduce a large number of …

[HTML][HTML] Artificial Intelligence of Things (AIoT) Advances in Aquaculture: A Review

YP Huang, SP Khabusi - Processes, 2025 - mdpi.com
The integration of artificial intelligence (AI) and the internet of things (IoT), known as artificial
intelligence of things (AIoT), is driving significant advancements in the aquaculture industry …

A Deep Learning Method for Offshore Raft Aquaculture Extraction Based on Medium Resolution Remote Sensing Images

J Liu, Y Lu, X Guo, W Ke - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
Aquaculture has experienced significant growth, contributing to resolving the global food
crisis and delivering substantial economic benefits. Nevertheless, the uncontrolled …

Agricultural field boundary delineation using a cascaded deep network model from polarized SAR and multispectral images

XF Kuang, J Guo, HY Wang… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
The accurate acquisition of farmland boundary information is an important means for
agricultural production data statistics. Due to the extreme imbalance of categories in …

[HTML][HTML] Multi-Scenario Remote Sensing Image Forgery Detection Based on Transformer and Model Fusion

J Zhao, Z Shi, C Yu, Y Liu - Remote Sensing, 2024 - mdpi.com
Recently, remote sensing image forgery detection has received widespread attention. To
improve the detection accuracy, we build a novel scheme based on Transformer and model …

Enhanced-HisSegNet: Improved SAR Image Flood Segmentation with Learnable Histogram Layers and Active Contour Model

M Asadi, S Sarabi, M Kordani, MA Ilani… - IEEE Geoscience and …, 2025 - ieeexplore.ieee.org
Synthetic Aperture Radar (SAR) imagery plays a critical role in flood mapping due to its
ability to capture data under all-weather and day-and-night conditions. However, existing …

[PDF][PDF] AIoT Advances in Aquaculture: A Review

YP Huang, SP Khabusi - 2024 - preprints.org
The integration of artificial intelligence (AI) and the internet of things (IoT), known as AIoT, is
driving significant advancements in the aquaculture industry, offering solutions to …