Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Rafael L. Paes"'
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3441 (2023)
Satellite synthetic aperture radar (SAR) images are recognized as one of the most efficient tools for day/night, all weather and large area monitoring of ships at sea. However, false alarms discrimination is still one key problem on SAR ship detectio
Externí odkaz:
https://doaj.org/article/889e2cddfb344c218079f134e4a26262
Autor:
PAULO NOBRE, ANGELO T. LEMOS, EMANUEL GIAROLLA, ROSIO CAMAYO, LAERCIO NAMIKAWA, MILTON KAMPEL, NATÁLIA RUDORFF, DIEGO X. BEZERRA, JOÃO LORENZZETTI, JORGE GOMES, MANOEL B. DA SILVA JR, CARLA P.M. LAGE, RAFAEL L. PAES, CARLOS BEISL, MÁRCIO M. LOBÃO, PEDRO A. BIGNELLI, NAJLA DE MOURA, WOUGRAN S. GALVÃO, PAULO S. POLITO
Publikováno v:
Anais da Academia Brasileira de Ciências, Volume: 94 Supplement 2, Article number: e20210391, Published: 02 SEP 2022
Anais da Academia Brasileira de Ciências v.94 suppl.2 2022
Anais da Academia Brasileira de Ciências
Academia Brasileira de Ciências (ABC)
instacron:ABC
Anais da Academia Brasileira de Ciências v.94 suppl.2 2022
Anais da Academia Brasileira de Ciências
Academia Brasileira de Ciências (ABC)
instacron:ABC
During the last quarter of 2019, the beaches, mangroves, and estuaries of Northeast Brazil received an unprecedented volume of crude oil from the sea, which became the worst environmental disaster ever to reach the Brazilian coast. The oil, having re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77bda298841fc1333c58e3a31a2bfa57
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000401107&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000401107&lng=en&tlng=en
Autor:
Veraldo Liesenberg, Edson Aparecido Mitishita, Raul Queiroz Feitosa, Alessandra Rodrigues Gomes, Fatima N. Sombra de Sombra, Antonio Maria Garcia Tommaselli, Rafael L. Paes, Jefersson A. dos Santos, Jose Marcato, Alejandro C. Frery
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine. 8:144-151
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 16:1329-1333
Recent advances in deep learning for automatic target recognition have inspired studies for maritime surveillance with synthetic aperture radar (SAR). In this context, oil rigs monitoring is of particular interest. There are offshore platforms of dif
Publikováno v:
Remote Sensing, Vol 13, Iss 1522, p 1522 (2021)
Oceans represent an extraordinary source of resources that needs to be preserved while being exploited [...]
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 7:545-548
The very large extent of the Brazilian coast (~8000 km) and the growing maritime vessel traffic demand that research be made on ancillary methods to monitor and control ship's traffic in national waters. An important tool for this purpose is the use
Publikováno v:
IGARSS
This study aims at addressing coastline extraction and coastal area classification using a new polarimetric SAR (polSAR) architecture, namely the Hybrid-polarity (HP) architecture that belongs to the class of compact-polarimetric (CP) SAR. First the
Publikováno v:
2014 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems Proceedings.
In this study, target at sea detection is addressed using Hybrid Polarity (HP) Synthetic Aperture Radar (SAR) architecture. Wave polarimetry concepts are used to define HP features that are used to observe targets at sea. The sensitivity of HP featur
A comparison among three Compact-Polarimetry (CP) Synthetic Aperture Radar (SAR) architectures is followed to analyze some polarimetric features sensitivity with respect to the ocean background variation, which is achieved as situational awareness ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e57752f956fac1446d9bfd80fd1fd345
http://hdl.handle.net/11367/40182
http://hdl.handle.net/11367/40182
In this paper, a physically based approach, which takes full benefits of speckle noise as source of information, is first applied over X-band full-resolution single-look complex slant (SCS) COSMO-SkyMed synthetic aperture radar (SAR) data to observe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::418397b458fee4a9e49a369f66c09dec
http://hdl.handle.net/11367/3339
http://hdl.handle.net/11367/3339