Multi-Class Pixel Certainty Active Learning Model for Classification of Land Cover Classes Using Hyperspectral Imagery

Multi-Class Pixel Certainty Active Learning Model for Classification of Land Cover Classes Using Hyperspectral Imagery

An accurate identification of objects from the acquisition system depends on the clear segmentation and classification of remote sensing images. With the limited financial resources and the high intra-class variations, the earlier proposed algorithms failed to handle the sub-optimal dataset. The bui...

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Bibliographic Details
Main Authors: Chandra Shekhar Yadav, Monoj Kumar Pradhan, Syam Machinathu Parambil Gangadharan, Jitendra Kumar Chaudhary, Jagendra Singh, Arfat Ahmad Khan, Mohd Anul Haq, Ahmed Alhussen, Chitapong Wechtaisong, Hazra Imran, Zamil S. Alzamil, Himansu Sekhar Pattanayak
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Electronics
Subjects:
active learning
heuristics
hyperspectral images
multi-class classification
relevance vector machine
remote sensing
Online Access:https://www.mdpi.com/2079-9292/11/17/2799

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https://www.mdpi.com/2079-9292/11/17/2799

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