Fusing Sentinel-1 and Sentinel-2 Images for Deforestation Detection in the Brazilian Amazon Under Diverse Cloud Conditions-Reference-Cited by-同舟云学术

Fusing Sentinel-1 and Sentinel-2 Images for Deforestation Detection in the Brazilian Amazon Under Diverse Cloud Conditions

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Ferrari Felipe¹^ORCID,Ferreira Matheus Pinheiro²^ORCID,Almeida Cláudio Aparecido³,Feitosa Raul Queiroz¹^ORCID

Affiliation:

1. Computer Vision Laboratory of the Program in Electrical Engineering (DEE), Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil

2. Digital Imaging Laboratory, Military Institute of Engineering (IME), Rio de Janeiro, Brazil

3. Amazon and Other Biomas Monitoring Program (PAMZ+), National Institute for Space Research (INPE), São José dos Campos, Brazil

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10046410.pdf?arnumber=10046410

Reference20 articles.

1. Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing

2. Comparison of Optical and SAR Data for Deforestation Mapping in the Amazon Rainforest with Fully Convolutional Networks

3. FUSING MULTI-MODAL DATA FOR SUPERVISED CHANGE DETECTION

4. Investigating fusion strategies on encoder–decoder networks for crop segmentation using SAR and optical image sequences;rosa;Proc IEEE Int Geosci Remote Sens Symp (IGARSS),2021

5. TerraBrasilis: A Spatial Data Analytics Infrastructure for Large-Scale Thematic Mapping

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4. FUSING SENTINEL-1 AND SENTINEL-2 IMAGES WITH TRANSFORMER-BASED NETWORK FOR DEFORESTATION DETECTION IN THE BRAZILIAN AMAZON UNDER DIVERSE CLOUD CONDITIONS;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-12-05

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