Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mario Ernesto Jijón-Palma"'
Publikováno v:
International Journal of Remote Sensing. 40:3401-3420
Binary encoding is an approach that aims at summarizing the information contained in various spectral bands into a single image that stores the meaningful information of the bands. In this paper, i...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d63ad9ff7a566ea0956decc4cd7ac5fe
https://doi.org/10.1080/01431161.2018.1547447
https://doi.org/10.1080/01431161.2018.1547447
Publikováno v:
Journal of Applied Remote Sensing. 15
Deep learning opened new possibilities for remote sensing image analysis using multiple neural nets layers. We introduce a hybrid pixel-based model that allows improving the unsupervised training with stacked autoencoders (SAE) by inserting convoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b0d88f5e9c27a910fd89ec0a889b77d
https://doi.org/10.1117/1.jrs.15.026506
https://doi.org/10.1117/1.jrs.15.026506
Publikováno v:
Boletim de Ciências Geodésicas v.27 n.2 2021
Boletim de Ciências Geodésicas
Universidade Federal do Paraná (UFPR)
instacron:UFPR
Boletim de Ciências Geodésicas, Volume: 27, Issue: 2, Article number: e2021013, Published: 04 JUN 2021
Boletim de Ciências Geodésicas
Universidade Federal do Paraná (UFPR)
instacron:UFPR
Boletim de Ciências Geodésicas, Volume: 27, Issue: 2, Article number: e2021013, Published: 04 JUN 2021
Object detection in high resolution images is a new challenge that the remote sensing community is facing thanks to introduction of unmanned aerial vehicles and monitoring cameras. One of the interests is to detect and trace persons in the images. Di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::518b1a47a2f035c8cc41daa1db61d3c2
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1982-21702021000200203
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1982-21702021000200203
Publikováno v:
Boletim de Ciências Geodésicas v.27 n.3 2021
Boletim de Ciências Geodésicas
Universidade Federal do Paraná (UFPR)
instacron:UFPR
Boletim de Ciências Geodésicas
Universidade Federal do Paraná (UFPR)
instacron:UFPR
The wide use of cameras enables the availability of a large amount of image frames that can be used for people counting or to monitor crowds or single individuals for security purposes. These applications require both, object detection and tracking.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5773dd6cac80fbca5ac83625d2ebd4c0
https://doi.org/10.1590/s1982-21702021000300017
https://doi.org/10.1590/s1982-21702021000300017
Publikováno v:
Journal of Applied Remote Sensing. 14
Remote sensing enables multitemporal information of the Earth’s surface and the dynamic processes that affect the environment. Given the considerable data availability, methods to summarize multitemporal datasets are needed to support the analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d93e75cedce4c34208fcc8c1cc1ef6a
https://doi.org/10.1117/1.jrs.14.034523
https://doi.org/10.1117/1.jrs.14.034523
Publikováno v:
2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS).
In this paper it is described a study case of a rapid assessment of change detections for post-cyclone Idai vegetated damage and flood extension estimation by fusion of multi-temporal Landsat and sentinel-1 SAR images. For automated change detection,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58b1f9dc539e0499ab6d2de2be47aa17
https://doi.org/10.1109/lagirs48042.2020.9165657
https://doi.org/10.1109/lagirs48042.2020.9165657