1
Publications
39
Citations
1
H-Index
2021
Active since
Affiliations
Jiangnan Shao is an author at Beijing University of Chemical Technology specializing in computer vision, synthetic aperture radar, and object detection.
Top concepts
EngineeringDeep LearningImage AnalysisMachine VisionRemote SensingComputer VisionObject DetectionMarine SurveillancePattern RecognitionSynthetic Aperture Radar
Publications per year
2021–2021
1
1
Vessel Detection From Nighttime Remote Sensing Imagery Based on Deep Learning
Jiangnan Shao, Qingyao Yang, Changyu Luo et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2021 · 39 citations · Full text
Convolutional Neural Network, Nighttime Remote Sensing, Image Analysis +14
Rows per page
1–1 of 1