[HTML][HTML] YOLOShipTracker: Tracking ships in SAR images using lightweight YOLOv8

M Yasir, S Liu, S Pirasteh, M Xu, H Sheng… - International Journal of …, 2024 - Elsevier
This paper presents a novel approach to tracking ships in Synthetic Aperture Radar (SAR)
images based on an improved lightweight YOLOv8 Nano (YOLOv8n), specially devised to …

[HTML][HTML] YOLOv8-BYTE: Ship tracking algorithm using short-time sequence SAR images for disaster response leveraging GeoAI

M Yasir, L Shanwei, X Mingming, W Jianhua… - International Journal of …, 2024 - Elsevier
Ship tracking technology is crucial for emergency rescue in the event of a disaster. Quickly
identifying the position and status of vessels is vital for rescue teams to be able to deploy …

Integrating SAR, optical, and machine learning for enhanced coastal mangrove monitoring in Guyana

K Chan-Bagot, KE Herndon, A Puzzi Nicolau… - Remote Sensing, 2024 - mdpi.com
Mangrove forests are a biodiverse ecosystem known for a wide variety of crucial ecological
services, including carbon sequestration, coastal erosion control, and prevention of …

Enhanced Cascade R-CNN for Multi-scale Object Detection in Dense Scenes from SAR Images

B Chai, X Nie, Q Zhou, X Zhou - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Synthetic Aperture Radar (SAR) has the characteristics of all-weather and all-time operation,
which can achieve uninterrupted detection of targets on the sea surface. Currently, small …

Tracking dynamics characteristics of tidal flats using landsat time series and Google Earth Engine cloud platform

C Chen, W Sun, Z Yang, G Yang, M Jia, Z Zhang… - Resources …, 2024 - Elsevier
Tidal flats serve as vital spatial resources within coastal wetlands and play crucial roles in
biological habitat preservation, environmental conservation, and human development …

[HTML][HTML] Deep Learning for Epileptic Seizure Detection Using a Causal-Spatio-Temporal Model Based on Transfer Entropy

J Sun, J Xiang, Y Dong, B Wang, M Zhou, J Ma, Y Niu - Entropy, 2024 - mdpi.com
Drug-resistant epilepsy is frequent, persistent, and brings a heavy economic burden to
patients and their families. Traditional epilepsy detection methods ignore the causal …

Ship Recognition for Complex SAR images via Dual-Branch Transformer Fusion Network

Z Sun, X Leng, X Zhang, B Xiong, K Ji… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Ship recognition in synthetic aperture radar (SAR) is an essential challenge in SAR image
interpretation. The measured SAR ship targets often contain complex backgrounds such as …

SwinYOLOv7: Robust ship detection in complex synthetic aperture radar images

M Yasir, L Shanwei, X Mingming, W Jianhua… - Applied Soft …, 2024 - Elsevier
Using satellite-based SAR (Synthetic Aperture Radar) imagery to detect and track ships is a
formidable challenge. However, accurate analysis is hampered by inherent difficulties such …

Multi-View Scene Classification Based on Feature Integration and Evidence Decision Fusion

W Zhou, Y Shi, X Huang - Remote Sensing, 2024 - mdpi.com
Leveraging multi-view remote sensing images in scene classification tasks significantly
enhances the precision of such classifications. This approach, however, poses challenges …

Geospatial analysis of shoreline changes in the Oman coastal region (2000-2022) using GIS and remote sensing techniques

ATI Colak - Frontiers in Marine Science, 2024 - frontiersin.org
This research introduces an innovative method employing the Canny edge detector for
automatic and precise coastline extraction, aiming to analyze spatial and temporal variations …