Land Cover Quantification using Autoencoder based Unsupervised Deep Learning

Land Cover Quantification using Autoencoder based Unsupervised Deep Learning

This work aims to develop a deep learning model for land cover quantification through hyperspectral unmixing using an unsupervised autoencoder. Land cover identification and classification is instrumental in urban planning, environmental monitoring and land management. With the technological advance...

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Bibliographic Details
Main Author: Manjunatha Bharadwaj, Sandhya
Other Authors: Electrical and Computer Engineering
Format: Others
Language:en
Published: Virginia Tech 2020
Subjects:
Deep Learning
Autoencoder
Land Cover
Hyperspectral Imagery
Spectral Unmixing
Reflectance Spectra
Online Access:http://hdl.handle.net/10919/99861

Internet

http://hdl.handle.net/10919/99861

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