Fast Ship Tracking Algorithm for Remote Sensing Video Based on Background Data Mining And Adaptive Selection

Published: Aug 27, 2021
Abstract
Ship tracking for remote sensing video has strong background characteristics. A single network structure hardly adapts to various environmental characteristics, where the tracking in the ocean background needs to have a strong real-time performance, while it tends to pursue the accuracy of detection when there exists land interference in the scene. This paper proposes a self-selecting neural network SSNN to comprehensively utilize the...
Paper Details
Title
Fast Ship Tracking Algorithm for Remote Sensing Video Based on Background Data Mining And Adaptive Selection
Published Date
Aug 27, 2021
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