Feature Learning for Multispectral Satellite Imagery Classification Using Neural Architecture Search

doi 10.1002/essoar.10501361.2

Full Text

Abstract

Available in

Date

December 12, 2019

Authors

Roberto Campbell

P. Michael Furlong

Scott McMichael

Publisher

Wiley

Related search

Feature Learning for Multispectral Satellite Imagery Classification Using Neural Architecture Search

English

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

Neural Computing and Applications

Artificial Intelligence

English

Spectral–spatial Feature Learning for Hyperspectral Imagery Classification Using Deep Stacked Sparse Autoencoder

Journal of Applied Remote Sensing

Planetary Sciences

English

DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification

Remote Sensing Letters

Planetary Sciences

Electronic Engineering

English

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

Applied Microbiology

Waste Management

English

Feature Selection Using Evolutionary Functional Link Neural Network for Classification

International Journal of Advances in Applied Sciences

English

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

Planetary Sciences

English

Multispectral Satellite Imagery to Quantify In-Field Soil Moisture Variability

Journal of Soils and Water Conservation

Landscape Conservation

English

Using Satellite Multispectral Imagery for Damage Mapping of Armyworm (Spodoptera Frugiperda ) in Maize at a Regional Scale

Pest Management Science

English