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José Luis Silván-Cárdenas
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2020 – today
- 2024
- [c11]José Luis Silván-Cárdenas
, Josafat Guerrero-Íñiguez, José M. Madrigal-Gómez:
3BUGS: Representing Building Geometries Extracted from Point Clouds. MCPR 2024: 155-165 - 2022
- [c10]José Luis Silván-Cárdenas
On Labelling Pointclouds with the Nearest Facet of Triangulated Building Models. MCPR 2022: 269-279 - 2020
- [c9]José Luis Silván-Cárdenas
Structured Pointcloud Segmentation for Individual Mangrove Tree Modeling. MCPR 2020: 172-182
2010 – 2019
- 2019
- [j7]Hamid Dashti
Empirical Methods for Remote Sensing of Nitrogen in Drylands May Lead to Unreliable Interpretation of Ecosystem Function. IEEE Trans. Geosci. Remote. Sens. 57(6): 3993-4004 (2019) - [j6]José Luis Silván-Cárdenas
Local Geometric Deformations in the DHT Domain With Applications. IEEE Trans. Image Process. 28(4): 1980-1992 (2019) - [c8]José Luis Silván-Cárdenas, Ana Josseline Alegre Mondragon, Karime González Zuccolotto:
Potential distribution of clandestine graves in Guerrero using geospatial analysis and modelling. iGISc 2019: 21-28 - [e1]Oscar S. Siordia, José Luis Silván-Cárdenas, Alejandro Molina-Villegas, Gandhi Hernández-Chan, Pablo López-Ramírez, Rodrigo Tapia-McClung, Karime González Zuccolotto, Mario Chirinos Colunga:
Proceedings of the 1st International Conference on Geospatial Information Sciences, iGISc 2019, Mérida, Yucatán, México, October 23-25, 2019. Kalpa Publications in Computing 13, EasyChair 2019 [contents] - 2017
- [c7]José Luis Silván-Cárdenas, Nirani Corona-Romero, José Manuel Madrigal-Gómez, Aristides Saavedra-Guerrero, Tania Cortés-Villafranco, Erick Coronado-Juárez:
On the Detectability of Buried Remains with Hyperspectral Measurements. MCPR 2017: 201-212 - 2014
- [j5]Jose Mauricio Galeana-Pizaña
Modeling the spatial distribution of above-ground carbon in Mexican coniferous forests using remote sensing and a geostatistical approach. Int. J. Appl. Earth Obs. Geoinformation 30: 179-189 (2014) - [c6]José Luis Silván-Cárdenas, Juan Andrés Almazán-González, Stephane Couturier:
Remote Identification of Housing Buildings with High-Resolution Remote Sensing. MCPR 2014: 380-390 - 2013
- [c5]José Luis Silván-Cárdenas:
A Multiscale Erosion Operator for Discriminating Ground Points in LiDAR Point Clouds. MCPR 2013: 213-223 - 2012
- [c4]José Luis Silván-Cárdenas:
A Segmentation Method for Tree Crown Detection and Modelling from LiDAR Measurements. MCPR 2012: 65-74 - 2011
- [c3]José Luis Silván-Cárdenas, Le Wang:
Extraction of Buildings Footprint from LiDAR Altimetry Data with the Hermite Transform. MCPR 2011: 314-321 - 2010
- [j4]José Luis Silván-Cárdenas, Le Wang:
Fully Constrained Linear Spectral Unmixing: Analytic Solution Using Fuzzy Sets. IEEE Trans. Geosci. Remote. Sens. 48(11): 3992-4002 (2010)
2000 – 2009
- 2009
- [j3]José Luis Silván-Cárdenas, Le Wang, F. Benjamin Zhan:
Representing geographical objects with scale-induced indeterminate boundaries: A neural network-based data model. Int. J. Geogr. Inf. Sci. 23(3): 295-318 (2009) - 2006
- [j2]José Luis Silván-Cárdenas, Boris Escalante-Ramírez
The multiscale Hermite transform for local orientation analysis. IEEE Trans. Image Process. 15(5): 1236-1253 (2006) - 2005
- [j1]Boris Escalante-Ramírez
Advanced modeling of visual information processing: A multi-resolution directional-oriented image transform based on Gaussian derivatives. Signal Process. Image Commun. 20(9-10): 801-812 (2005) - 2003
- [c2]Boris Escalante-Ramírez, Penélope López-Quiroz, José Luis Silván-Cárdenas:
SAR-image classification with a directional-oriented discrete Hermite transform and Markov random fields. IGARSS 2003: 3423-3425 - 2000
- [c1]José Luis Silván-Cárdenas, Boris Escalante-Ramírez:
Optic-Flow Information Extraction with Directional Gaussian-Derivatives. ICPR 2000: 3194-3197
Coauthor Index
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