Hyperspectral Image Classification: A Review

DOI

10.2991/978-94-6463-136-4_49How to use a DOI?

Keywords

Deep learning; CNN; Spectral; Spatial

Abstract

Hyperspectral imaging technique used to capture image of an objects in multidimensional form it uses technology of imaging and spectroscopic combined to capture multidimensional images. With Hyperspectral imaging (HSI) we can study, inspect external and internal characteristic of any Object. As each and every characteristic of any object has a unique spectral signature which is formed based on variations of reflectance or emittance of object material. Due to non-destructive nature of Hyperspectral imaging (HSI) now a day it is penetrate into food production, medical diagnosis, precision agriculture, pharmaceuticals, recycling, and environmental monitoring industries. We are going to review different HSI classification methods based on traditional, deep learning & pre-trained classifier.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sarfaraz Pathan
AU  - Sanjay Y. Azade
AU  - Deepali V. Sawane
AU  - Shabeena Naaz Khan
PY  - 2023
DA  - 2023/05/01
TI  - Hyperspectral Image Classification: A Review
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 582
EP  - 591
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_49
DO  - 10.2991/978-94-6463-136-4_49
ID  - Pathan2023
ER  -