Deep Convolutional Neural Network for Classifying Satellite Images with Heterogeneous Spatial Resolutions-Reference-Cited by-同舟云学术

Deep Convolutional Neural Network for Classifying Satellite Images with Heterogeneous Spatial Resolutions

Published:2021 Issue: Volume: Page:519-530
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2021
language:
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Author:

Miranda Mateus de Souza^ORCID,de Santiago Valdivino Alexandre^ORCID,Körting Thales Sehn^ORCID,Leonardi Rodrigo^ORCID,de Freitas Moisés Laurence^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87007-2_37

Reference24 articles.

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2. Assis, L., et al.: Terrabrasilis: a spatial data analytics infrastructure for large-scale thematic mapping. ISPRS Int. J. Geo-Information 8, 513 (2019). https://doi.org/10.3390/ijgi8110513, http://terrabrasilis.dpi.inpe.br

3. Assis, T., Amaral, S.: Landscape and population in deforestation areas of the brazilian cerrado: The case of cerrado baiano. In: Proceedings of the XIX Brazilian Symposium on Remote Sensing (2019). https://bityli.com/3TdqJ

4. Brazil: An area of native vegetation suppressed in the cerrado biome in 2019 was 6,484 km$$^{2}$$. National Institute for Space Research (2019). https://bityli.com/d1Jtd

5. Corrêa, R.: Cerrado: the wealth of tocantins. Portal Tocantins (2020). https://portal.to.gov.br/noticia/2020/9/11/cerrado-a-riqueza-do-tocantins/

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