Open AccessHyperspectral Image Classification Using Ensemble Transfer Learning
Author(s) -
K. Murugan,
G R Kishore,
Saba Inam,
K Karthikeyan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012082
Subject(s) - computer science , hyperspectral imaging , factor (programming language) , image (mathematics) , transfer (computing) , artificial intelligence , transfer of learning , range (aeronautics) , image compression , transmission (telecommunications) , ensemble learning , data science , machine learning , image processing , telecommunications , engineering , parallel computing , programming language , aerospace engineering
Today there is colossal advancement in virtual age that has achieved the improvement of various technology without trouble using contraptions and procedures specifically with in the side the fields of interchanges and measurements change to an allencompassing distance. The transmission of insights within the state of reports, pictures, voice and so on is presently available to all components of the general public and the contributions are minimal effort to a greater assortment of individuals. A basic factor is insights Compression and recovery and for that to be checked Image Compression and recovery, as pictures shape a greater a piece of measurements being traded over the net through long range informal communication and informing web locales and applications wherever on the planet. Among the entirety of the various sorts of insights pictures and films address the bulkiest measurements. Consequently, need for compacting the photo archives is a basic factor in insights correspondence.