A SELF-IMPROVING FRAMEWORK FOR JOINT DEPTH ESTIMATION AND UNDERWATER TARGET DETECTION FROM HYPERSPECTRAL IMAGERY

A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery

Underwater target detection (UTD) is one of the most attractive research topics in hyperspectral imagery (HSI) processing.Most of the existing methods are presented to predict the signatures of desired targets in an underwater context but ignore the depth information which is position-sensitive and contributes significantly to distinguishing the ba

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The Role of Brand Loyalty: The Case Study of Telekom Malaysia

Brand devotion is the principal thing in an association that leads from consumer loyalty toward items and administrations offer.This study is led to investigate the principle calculates that add to brand dedication in the telecom organization, TM.There are five primary variables utilized as a part of the contextual investigation that is duty, consu

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Spatial Information Enhancement with Multi-Scale Feature Aggregation for Long-Range Object and Small Reflective Area Object Detection from Point Cloud

Accurate and comprehensive 3D objects detection is important for perception systems in autonomous driving.Nevertheless, contemporary mainstream methods tend to perform more effectively on large objects in regions proximate to the LiDAR, leaving limited exploration of long-range objects and small objects.The divergent point pattern of LiDAR, which r

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