Automated hyperspectral image clustering using multilevel quantum differential evolution on quantum /
Title
Automated hyperspectral image clustering using multilevel quantum differential evolution on quantum /
Subject
Computer Science
Description
Patent Number: 202141013977, Applicant: Tulika Dutta.
Hyperspectral images are data cubes composed of huge spectral information. The spectral bands contain abundant information but are also full of redundant data. The huge information content also increases the space and time complexity to deal with hyperspectral images and due to Hughes phenomena, the accuracy also decreases with increase in information content. The constraint of research data and ground truth images of hyperspectral images is a real limitation of efficiently developing algorithms, especially supervised ones which require priori knowledge about the dataset.
Hyperspectral images are data cubes composed of huge spectral information. The spectral bands contain abundant information but are also full of redundant data. The huge information content also increases the space and time complexity to deal with hyperspectral images and due to Hughes phenomena, the accuracy also decreases with increase in information content. The constraint of research data and ground truth images of hyperspectral images is a real limitation of efficiently developing algorithms, especially supervised ones which require priori knowledge about the dataset.
Creator
Bhattacharyya, Siddhartha.
Publisher
Intellectual Property India
Date
2021
Language
English
Type
Patent
Collection
Citation
Bhattacharyya, Siddhartha., “Automated hyperspectral image clustering using multilevel quantum differential evolution on quantum /,” CHRIST (Deemed To Be University) Institutional Repository, accessed September 19, 2024, https://archives.christuniversity.in/items/show/2420.