A Multispectral Automated Transfer Technique (MATT) for Machine-Driven Image Labeling Utilizing the Segment Anything Model (SAM)

A Multispectral Automated Transfer Technique (MATT) for Machine-Driven Image Labeling Utilizing the Segment Anything Model (SAM)

Segment Anything Model (SAM) is drastically accelerating the speed and accuracy of automatically segmenting and labeling large Red-Green-Blue (RGB) imagery datasets. However, SAM is unable to segment and label images outside of the visible light spectrum, for example, for multispectral or hyperspect...

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Bibliographic Details
Main Authors: James E. Gallagher, Aryav Gogia, Edward J. Oughton
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Thermal object detection
RGB-thermal fusion
long-wave infrared (LWIR)
multispectral imagery (MSI)
computer vision
machine learning
Online Access:https://ieeexplore.ieee.org/document/10815733/
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