1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/48N2UB5 |
Repository | sid.inpe.br/mtc-m21d/2023/03.14.18.14 (restricted access) |
Last Update | 2023:03.14.18.14.59 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2023/03.14.18.14.59 |
Metadata Last Update | 2024:01.02.17.16.41 (UTC) administrator |
DOI | 10.1109/LGRS.2023.3242430 |
ISSN | 1545-598X |
Citation Key | FerrariFerrAlmeFeit:2023:FuSeSe |
Title | Fusing Sentinel-1 and Sentinel-2 images for deforestation detection under diverse cloud conditions |
Year | 2023 |
Access Date | 2024, May 19 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 1454 KiB |
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2. Context | |
Author | 1 Ferrari, Felipe 2 Ferreira, Matheus Pinheiro 3 Almeida, Cláudio Aparecido de 4 Feitosa, Raul Queiroz |
ORCID | 1 0000-0003-0705-9593 2 0000-0003-0687-4422 3 4 0000-0001-8344-5096 |
Group | 1 2 3 DIPE1-COGPI-INPE-MCTI-GOV-BR |
Affiliation | 1 Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) 2 Instituto Militar de Engenharia (IME) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 ferrari@aluno.puc-rio.br 2 3 almeidaclaudio68@gmail.com |
Journal | IEEE Geoscience and Remote Sensing Letters |
Volume | 20 |
Pages | e2501005 |
Secondary Mark | A1_GEOGRAFIA A1_ENGENHARIAS_IV A2_INTERDISCIPLINAR A2_GEOCIÊNCIAS B1_CIÊNCIA_DA_COMPUTAÇÃO B2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B2_BIOTECNOLOGIA B3_ASTRONOMIA_/_FÍSICA C_CIÊNCIAS_AGRÁRIAS_I |
History (UTC) | 2023-03-14 18:14:59 :: simone -> administrator :: 2023-03-14 18:15:01 :: administrator -> simone :: 2023 2023-06-22 15:27:27 :: simone -> administrator :: 2023 2024-01-02 17:16:41 :: administrator -> simone :: 2023 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Adaptive optics Biomedical optical imaging Clouds Land Surface Optical Data Optical imaging Optical sensors Radar polarimetry SAR Data Synthetic aperture radar Vegetation |
Abstract | Most current early warning systems for deforestation rely on cloud-free optical images, which are difficult to obtain in tropical regions. The fusion of optical and SAR images is an attractive alternative in these cases. Although less discriminative in cloudless regions, SAR data are nearly unaltered by clouds, allowing better discrimination in cloudy areas than the optical counterpart. This letter proposes solutions that seek the best combination between the two modalities for each pixel as a function of the surrounding cloud cover to maximize classification accuracy. We compared early, joint, and late fusion variants of Fully Convolutional Networks (FCN) to detect deforestation in the Amazon rainforest from Sentinel 1 and Sentinel 2 data. Experiments conducted to compare the architecture variants showed that optical-SAR fusion might outperform the single-modal variants for deforestation detection on pixels affected by any cloud cover level. In particular, the joint fusion approach outperformed the single modal counterparts under all cloud cover scenarios. |
Area | SRE |
Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > COGPI > Fusing Sentinel-1 and... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | Fusing_Sentinel-1_and_Sentinel-2_Images_for_Deforestation_Detection_in_the_Brazilian_Amazon_Under_Diverse_Cloud_Conditions.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | denypublisher allowfinaldraft |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/46L2FGP |
Citing Item List | sid.inpe.br/bibdigital/2022/04.04.04.47 1 |
Dissemination | WEBSCI; PORTALCAPES; SCIELO; AGU; MGA; COMPENDEX; IEEEXplore. |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository month nextedition notes number parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
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