Documentation of "ERCNN-DRS Urban Change Monitoring", https://github.com/It4innovations/ERCNN-DRS_urban_change_monitoring

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F21%3A10248877" target="_blank" >RIV/61989100:27740/21:10248877 - isvavai.cz</a>

Result on the web

<a href="https://github.com/It4innovations/ERCNN-DRS_urban_change_monitoring" target="_blank" >https://github.com/It4innovations/ERCNN-DRS_urban_change_monitoring</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Documentation of "ERCNN-DRS Urban Change Monitoring", https://github.com/It4innovations/ERCNN-DRS_urban_change_monitoring

Original language description

This project contains the Ensemble of Recurrent Convolutional Neural Networks for Deep Remote Sensing (ERCNN-DRS) used for urban change monitoring with ERS-1/2 &amp; Landsat 5 TM, and Sentinel 1 &amp; 2 remote sensing mission pairs. It was developed for demonstration purposes (study case) in the ESA Blockchain ENabled DEep Learning for Space Data (BLENDED) project. Two neural network models were trained for the two eras (ERS-1/2 &amp; Landsat 5 TM: 1991-2011, and Sentinel 1 &amp; 2: 2017-2021). The enclosed data was used for the MDPI Remote Sending publication Neural Network-Based Urban Change Monitoring with Deep-Temporal Multispectral and SAR Remote Sensing Data [2].

Czech name

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Czech description

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Type

A - Audiovisual production

CEP classification

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OECD FORD branch

10200 - Computer and information sciences

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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