Imitation Learning through Image Augmentation Using Enhanced Swin Transformer Model in Remote Sensing

Imitation Learning through Image Augmentation Using Enhanced Swin Transformer Model in Remote Sensing

In unmanned systems, remote sensing is an approach that collects and analyzes data such as visual images, infrared thermal images, and LiDAR sensor data from a distance using a system that operates without human intervention. Recent advancements in deep learning enable the direct mapping of input im...

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Bibliographic Details
Main Authors: Yoojin Park, Yunsick Sung
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
data augmentation
deep learning
image processing
imitation learning
Swin Transformer
action classification
Online Access:https://www.mdpi.com/2072-4292/15/17/4147

Internet

https://www.mdpi.com/2072-4292/15/17/4147

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