Urban Growth Modelling of Malang City Using Artificial Neural Network Based on Multi-Temporal Remote Sensing

Civil and Environmental Science
doi 10.21776/ub.civense.2018.00102.2
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Brawijaya University

Related search

Urban Growth Modeling Using an Artificial Neural Network a Case Study of Sanandaj City, Iran

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2014English

Improved Urban Flooding Mapping From Remote Sensing Images Using Generalized Regression Neural Network-Based Super-Resolution Algorithm

Remote Sensing
EarthPlanetary Sciences
2016English

Continuous Change Detection of Urban Lakes in Wuhan, China Using Multi-Temporal Remote Sensing Images

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2018English

Constitutive Modelling of INCONEL 718 Using Artificial Neural Network

IOP Conference Series: Materials Science and Engineering
Materials ScienceEngineering
2017English

Estimation of Poverty Based on Remote Sensing Image and Convolutional Neural Network

Advances in Remote Sensing
2019English

SUSM: A Scenario-Based Urban Growth Simulation Model Using Remote Sensing Data

European Journal of Remote Sensing
Applied MathematicsComputers in Earth SciencesAtmospheric ScienceEnvironmental Science
2019English

Urban Structure Analysis of Mega City Mexico City Using Multisensoral Remote Sensing Data

2008English

Modelling Masonry Crew Productivity Using Two Artificial Neural Network Techniques

Journal of Civil Engineering and Management
CivilManagementStructural EngineeringStrategy
2014English

Characterisation of the Artificial Neural Network CiPS for Cirrus Cloud Remote Sensing With MSG/SEVIRI

Atmospheric Measurement Techniques
Atmospheric Science
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy