August 18, 2025Scientific ReportsOpen Access

Multiscale feature tuned trans-DeepLabV3+ based semantic segmentation of aerial images using improved red piranha optimization algorithm

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Excellent performance in semantic segmentation leads to improved image clarity and detail recognition.
The Multiscale Feature Tuned-Trans-DeepLabV3+ model shows significant enhancements using advanced deep learning techniques.
Heuristic optimization via the Improved Red Piranha Optimization method fine-tunes parameters for better output.
This approach indicates better efficiency, combining deep learning and optimization strategies for quality aerial image analysis.

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This method demonstrates enhanced semantic segmentation accuracy in aerial images, suggesting improvements through red piranha optimization.

Anilkumar et al. (2025) studied this question.

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This method demonstrates enhanced semantic segmentation accuracy in aerial images, suggesting improvements through red piranha optimization.