Fully‐connected semantic segmentation of hyperspectral and LiDAR data

Fully‐connected semantic segmentation of hyperspectral and LiDAR data

Semantic segmentation is an emerging field in the computer vision community where one can segment and label an object all at once, by considering the effects of the neighbouring pixels. In this study, the authors propose a new semantic segmentation model that fuses hyperspectral images with light de...

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Bibliographic Details
Main Authors: Hakan Aytaylan, Seniha Esen Yuksel
Format: Article
Language:English
Published: Wiley 2019-04-01
Series:IET Computer Vision
Subjects:
neighbouring pixels
semantic segmentation model
hyperspectral images
light detection
three-dimensional space
Universal Transverse Mercator
Online Access:https://doi.org/10.1049/iet-cvi.2018.5067

Internet

https://doi.org/10.1049/iet-cvi.2018.5067

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