Spatial–temporal-channel collaborative feature learning with transformers for infrared small target detection

Image and Vision Computing, Journal Year: 2025, Volume and Issue: unknown, P. 105435 - 105435

Published: Jan. 1, 2025

Language: Английский

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Hcffpn: Hierarchical Cross-Scale Feature Fusion Pyramid Network for Small Target Detection in Unmanned Aerial Vehicle Images

Published: Jan. 1, 2025

Language: Английский

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Drone-assisted adaptive object detection and privacy-preserving surveillance in smart cities using whale-optimized deep reinforcement learning techniques

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 22, 2025

Drone/ unmanned aerial vehicles (UAV) surveillance for object/ human detection is familiar in large gatherings the modern cities era. Artificial intelligence algorithms and computer-aided processing will handle images extracted from videos to reveal object. This article proposes a novel object technique (ODT) that assimilates whale optimization deep reinforcement learning. The algorithm detects spreading image features origin end of x×y pixels. feature extraction performed until complete pixels are covered identify their existence least position. forging behaviour whales implied highly overlapping detection/ classification. If increase, whale's movement updated last-known highest pixel learning recommends new agents validate low features, such agent moves towards feature. Therefore, feature-based differentiation pursued using searching objects through collated

Language: Английский

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UAV measurements and AI-driven algorithms fusion for real estate good governance principles support

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 134, P. 104229 - 104229

Published: Oct. 28, 2024

Language: Английский

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