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

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

Abstract The use of higher-resolution spatial aerial images for semantic segmentation in everyday tasks has increased due to recent advancements in remote sensing and several other applications. Nonetheless, supervised learning necessitates a substantial quantity of images with pixel-level labeling....

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Bibliographic Details
Main Authors: P. Anilkumar, K. Lokesh, A. Naveen Kumar, D. John Pradeep, Y. V. Pavan Kumar, Rammohan Mallipeddi
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
High-resolution aerial images
Remote sensing
Semantic segmentation
Image enhancement
Multi-Scale RetiNex
Multiscale feature tuned-trans-Deeplabv3+ 
Online Access:https://doi.org/10.1038/s41598-025-12940-5
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https://doi.org/10.1038/s41598-025-12940-5

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