A Comparison of Satellite Hyperspectral and Multispectral Remote Sensing Imagery for Improved Classification and Mapping of Vegetation

Water S.A. - South Africa
doi 10.4314/wsa.v34i2.183634
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Academy of Science of South Africa

Related search

A Simple Semi-Automatic Approach for Land Cover Classification From Multispectral Remote Sensing Imagery

PLoS ONE
Multidisciplinary
2012English

Mapping Aquatic Vegetation in a Tropical Wetland Using High Spatial Resolution Multispectral Satellite Imagery

Remote Sensing
EarthPlanetary Sciences
2015English

Investigation of Restoration Techiques for Remote Sensing Satellite Imagery

The International Conference on Electrical Engineering
2006English

Cloud Removal Analysis of Remote Sensing Satellite Imagery

English

Multispectral Imagery and Automatic Classification of Spectral Response for Detailed Engineering Soils Mapping

1970English

Feature Learning for Multispectral Satellite Imagery Classification Using Neural Architecture Search

2019English

Feature Learning for Multispectral Satellite Imagery Classification Using Neural Architecture Search

2019English

Pan-Sharpening Approaches Based on Unmixing of Multispectral Remote Sensing Imagery

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

A Deep Learning Framework for Land-Use/Land-Cover Mapping and Analysis Using Multispectral Satellite Imagery

Neural Computing and Applications
Artificial IntelligenceSoftware
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy