Domain-Adversarial Neural Networks for Deforestation Detection in Tropical Forests-Reference-Cited by-同舟云学术

Domain-Adversarial Neural Networks for Deforestation Detection in Tropical Forests

Author:

Soto Pedro J.¹^ORCID,Costa Gilson A.²^ORCID,Feitosa Raul Q.³^ORCID,Ortega Mabel X.³^ORCID,Bermudez Jose D.³^ORCID,Turnes Javier N.⁴^ORCID

Affiliation:

1. University Brest, CNRS, Ifremer, UMR6197 Biologie et Ecologie des Ecosystèmes marins Profonds, Plouzané, France

2. Institute of Mathematics and Statistics, State University of Rio de Janeiro, Rio de Janeiro, Brazil

3. Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil

4. Department of System Design Engineering, University of Waterloo, Waterloo, ON, Canada

Funder

Fundao Carlos Chagas Filho de Amparo Pesquisa do Estado do Rio de Janeiro

Conselho Nacional de Desenvolvimento Cientfico e Tecnolgico

Coordenao de Aperfeioamento de Pessoal de Nvel Superior

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

Reference14 articles.

2. Change vector analysis: An approach for detecting forest changes with Landsat;malila;Proc LARS Symposia,1980

4. Methodology for forest monitoring used in PRODES and DETER projects;de almeida;CEP,2021

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