Superpixel-Based Multiscale CNN Approach Toward Multiclass Object Segmentation From UAV-Captured Aerial Images

Superpixel-Based Multiscale CNN Approach Toward Multiclass Object Segmentation From UAV-Captured Aerial Images

Unmanned aerial vehicles (UAVs) are promising remote sensors capable of reforming remote sensing applications. However, for artificial-intelligence-guided tasks, such as land cover mapping and ground-object mapping, most deep-learning-based architectures fail to extract scale-invariant features, res...

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Bibliographic Details
Main Authors: Tanmay Kumar Behera, Sambit Bakshi, Michele Nappi, Pankaj Kumar Sa
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Aerial image
convolutional neural network (CNN)
deep learning
mutliscale CNN
semantic segmentation
simple linear iterative clustering (SLIC)
Online Access:https://ieeexplore.ieee.org/document/10026476/

Internet

https://ieeexplore.ieee.org/document/10026476/

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