Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Carlos Lopez-Martinez"'
Autor:
Gerard Portal, Merce Vall-Llossera, Carlos Lopez-Martinez, Adriano Camps, Miriam Pablos, Alberto Alonso-Gonzalez, Thomas Jagdhuber, Amir Mustofa Irawan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15543-15566 (2024)
Understanding soil moisture (SM) at high spatio-temporal resolution provides crucial insights across various societal disciplines due to its direct impact on environmental and natural disaster monitoring, weather forecasting, agricultural productivit
Externí odkaz:
https://doaj.org/article/d9b481e7d10d49feb6d20d7aac57d1ef
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9797-9810 (2024)
The multitemporal polarimetric SAR (PolSAR) data contains the scattering change information during the growth of crops. However, the current classification methods usually directly use the addition of features extracted at single-temporal or use the
Externí odkaz:
https://doaj.org/article/531342485c354b7e9a93480a1809b8e2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5001-5014 (2024)
This work presents the first results of canopy height mapping with L-Band SAOCOM data by means of Polarimetric SAR Interferometry (PolInSAR). For this study case, a colocated temporal series of SAOCOM fully polarimetric images covering the year 2021
Externí odkaz:
https://doaj.org/article/8b5f77285f6a4356abc6e0a27a260b78
Autor:
Claudia Olivares-Cabello, David Chaparro, Merce Vall-llossera, Adriano Camps, Carlos Lopez-Martinez
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 538-552 (2023)
Vegetation optical depth (VOD) has contributed to monitor vegetation dynamics and carbon stocks at different microwave frequencies. Nevertheless, there is a need to determine which are the appropriate frequencies to monitor different vegetation types
Externí odkaz:
https://doaj.org/article/8e4c6df4e8124343b113d686df65c065
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3697-3713 (2022)
Deep neural networks (DNNs) appear to be a solution for the classification of polarimetric synthetic aperture radar (PolSAR) data in that they outperform classical supervised classifiers under the condition of sufficient training samples. The design
Externí odkaz:
https://doaj.org/article/270acec3b4474122925daa0377494710
Autor:
Subhadip Dey, Avik Bhattacharya, Alejandro C. Frery, Carlos Lopez-Martinez, Yalamanchili S. Rao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3887-3902 (2021)
Target decomposition methods from polarimetric Synthetic Aperture Radar (PolSAR) data provides target scattering information. In this regard, several conventional model-based methods use scattering power components to analyze polarimetric SAR data. H
Externí odkaz:
https://doaj.org/article/a14f40e15a23479aad9738ecb92d6377
Autor:
Alexander W. Jacob, Fernando Vicente-Guijalba, Carlos Lopez-Martinez, Juan M. Lopez-Sanchez, Marius Litzinger, Harald Kristen, Alejandro Mestre-Quereda, Dariusz Ziolkowski, Marco Lavalle, Claudia Notarnicola, Gopika Suresh, Oleg Antropov, Shaojia Ge, Jaan Praks, Yifang Ban, Eric Pottier, Jordi Joan Mallorqui Franquet, Javier Duro, Marcus E. Engdahl
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 535-552 (2020)
This article investigates and demonstrates the suitability of the Sentinel-1 interferometric coherence for land cover and vegetation mapping. In addition, this study analyzes the performance of this feature along with polarization and intensity produ
Externí odkaz:
https://doaj.org/article/d409dd613336423d96c4a4cde986297b
Autor:
Ramona Pelich, Marco Chini, Renaud Hostache, Patrick Matgen, Carlos Lopez-Martinez, Miguel Nuevo, Philippe Ries, Gerd Eiden
Publikováno v:
Remote Sensing, Vol 11, Iss 9, p 1078 (2019)
This research addresses the use of dual-polarimetric descriptors for automatic large-scale ship detection and characterization from synthetic aperture radar (SAR) data. Ship detection is usually performed independently on each polarization channel an
Externí odkaz:
https://doaj.org/article/1a3c392bf68548959c9fc7e6bc29bfd1
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1833 (2018)
This study introduces a technique for automatically mapping built-up areas using synthetic aperture radar (SAR) backscattering intensity and interferometric multi-temporal coherence generated from Sentinel-1 data in the framework of the Copernicus pr
Externí odkaz:
https://doaj.org/article/9c82705f25734b2598c31371a7346654
Publikováno v:
Applied Sciences, Vol 7, Iss 8, p 768 (2017)
Synthetic Aperture Radar (SAR) polarimetry is an active and fruitful field of research in Earth observation. [...]
Externí odkaz:
https://doaj.org/article/395840c169f44272bda28cb183e4c792