Top Tweets for #ShipDetection
Discover how #Suhora's AI enabled platform leverages multisensor #satelliteimagery (#optical, #SAR & more) to detect & classify ships with increasing precision. #ShipDetection #MaritimeSurveillance #EarthObservation #AIS #RemoteSensing #DefenseTech #AIinGeospatial #Suhora
🚢🛳️⛵ #YOLO-Lite: An Efficient Lightweight Network for #SAR #ShipDetection
✍️ Xiaozhen Ren et al.
🔗 https://t.co/OtPnYrQNgy
Do you know that satellite data can be used to detect the speed of ships and airplanes?
This and more applications of satellite remote sensing data that even you may not have heard of.
https://t.co/PpLS5IIaR7
#earthobservation #remotesensing #shipdetection #airplane
Arbitrary-Oriented #ShipDetection Method Based on Long-Edge Decomposition Rotated Bounding Box Encoding in #SAR Images
✍️by Xinqiao Jiang et al.
🔗Access the full paper: https://t.co/1nVHefocrf
PPA-Net: Pyramid Pooling Attention Network for Multi-Scale #ShipDetection in #SAR Images
by Gang Tang et al.
#convolutional neural network
Access the full paper: https://t.co/hbaERtEn93
🔔 New article:
Jia & Zhang propose ship #polarization information restoration - a method to improve #ShipDetection through the removal of sea #haze from optical imagery.
🔗 https://t.co/sugVLy10fR
#IJRS #RemoteSensing #AirlightEstimation #StokesParameters
#mostcited
🚢 YOLO-Lite: An Efficient Lightweight Network for #SAR Ship Detection
by Xiaozhen Ren, Yanwen Bai, et al.
➡️ https://t.co/nUAoPByDdu
#ShipDetection
#mostcited
🚢Ship Detection in #SAR Images Based on Multi-Scale Feature Extraction and Adaptive Feature Fusion
by Kexue Zhou, Min Zhang, Hai Wang and Jinlin Tan
https://t.co/EIZPiyzvgO
#ShipDetection
#mostcited
🚢CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for #SAR Ship Detection
by Runfan Xia, Jie Chen, Zhixiang Huang, et al.
https://t.co/vkjkVVhYQH
#ShipDetection
Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images
by Xiaowo Xu, Xiaoling Zhang and Tianwen Zhang
https://t.co/AAVRPHVvGv
#ShipDetection
🔔 New article:
Tang et al. propose scene-aware #DataAugmentation to improve #SAR data-derived #ShipDetection - by addressing the scene imbalance problem, where many more offshore than inshore scenes are acquired.
🔗 https://t.co/VMaibNBd03
#IJRS #RemoteSensing #radar
⛴Unified Framework for #ShipDetection in Multi-Frequency #SAR Images: A Demonstration with COSMO-SkyMed, #Sentinel-1, and SAOCOM Data
by Roberto Del Prete, Maria Daniela Graziano and Alfredo Renga
https://t.co/5VvsOqYn5M
#syntheticapertureradar
#mostcited
🚢#ShipDetection and Feature Visualization Analysis Based on Lightweight #CNN in VH and VV Polarization Images
by Xiaomeng Geng, Lei Shi, Jie Yang, Pingxiang Li, Lingli Zhao, Weidong Sun and Jinqi Zhao
https://t.co/bq58mYVsD7
#ocean
By monitoring the coastlines along the Atlantic Ocean, we captured this image over the island of Trinidad and Tobago in the midst of a national emergency due to a significant #OilSpill. Our #ShipDetection tool identified the vessel responsible for this disaster earlier this month
Today, we'd like to remind you of the importance of our imagery & data to improve safety & security at sea.
Check out how the #PortOfHamburg in Germany looks like from our orbit!
#PortMonitoring #MaritimeSurveillance #ShipDetection
#remotesensing
📢BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented #ShipDetection in High-Resolution #SAR Images by Zhongzhen Sun, Xiangguang Leng, Yu Lei, Boli Xiong, Kefeng Ji and Gangyao Kuang
👉Read the full article: https://t.co/wBDUz2VckW
#mostcited
📢High-Speed Lightweight #ShipDetection Algorithm Based on #YOLO-V4 for Three-Channels #RGB #SAR Image by Jiahuan Jiang, Xiongjun Fu, Rui Qin, Xiaoyan Wang and Zhifeng Ma
👉 Read the full article: https://t.co/5XBQg1Nbyv
GEOSAT’s imagery is the perfect solution to feed integrated #Maritime services with fresh and reliable information and to support maritime control activities, including activity detection, identifying and classifying vessels.
#MaritimeSurveillance #ShipDetection #Baoshan #China
🔔 New article:
Kong et. al. introduce a lightweight, multiscale 🚢 #ShipDetection network based on the YOLOx-Tiny model and using high-resolution #SyntheticApertureRadar imagery.
🔗 https://t.co/sBNSAZXKVB
#IJRS #RemoteSensing #SAR #radar #YOLO #MachineLearning
🔔 New article:
Kong et. al. introduce a lightweight, multiscale 🚢 #ShipDetection network based on the YOLOx-Tiny model and using high-resolution #SyntheticApertureRadar imagery.
🔗 https://t.co/sBNSAZXKVB
#IJRS #RemoteSensing #SAR #radar #YOLO #MachineLearning
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