Deep Learning for Land Use and Land Cover Classification based on Hyperspectral and Multispectral Earth Observation Data: A Review
Lately, with deep learning outpacing the other machine learning techniques in classifying images, we have witnessed a growing interest of the remote sensing community in employing these techniques for the land use and land cover classification based on multispectral and hyperspectral images; the num...
Main Authors: | Ava Vali, Sara Comai, Matteo Matteucci |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/15/2495 |
Similar Items
-
Knowledge-based learning for classification of hyperspectral data
by: Chen, Yang-Chi, 1973-
Published: (2012) -
Ice Detection on Aircraft Surface Using Machine Learning Approaches Based on Hyperspectral and Multispectral Images
by: Maria Angela Musci, et al.
Published: (2020-08-01) -
Editorial for the Special Issue: Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas
by: Amin Beiranvand Pour, et al.
Published: (2021-02-01) -
Comparison of hyperspectral and multi-spectral imagery to building a spectral library and land cover classification performance
by: Mukesh Singh Boori, et al.
Published: (2018-12-01) -
Fusion of China ZY-1 02D Hyperspectral Data and Multispectral Data: Which Methods Should Be Used?
by: Han Lu, et al.
Published: (2021-06-01)