La teledetección, por definición, consiste en la observación remota de un determinado objeto o área para obtener información. Por otro lado, las imágenes multi e hiper-espectrales consisten en cubos de datos que contienen información del objeto observado a lo largo de todo el espectro electromagnético.

Hoy en día, los instrumentos y sensores existentes permiten, en cuestión de segundos, recopilar cientos de imágenes correspondientes a diferentes longitudes de onda sobre una misma área.

Uniendo las premisas descritas, al hecho de que hay ciertos comportamientos y objetos que dejan huellas únicas (denominadas firmas espectrales) a lo largo del espectro electromagnético, es posible pensar en utilizar técnicas que permitan utilizar la información adquirida de forma remota para detección de problemas y ayuda en la toma de decisiones.

Por último, si a estas posibilidades añadimos la creciente necesidad de aplicación del ámbito de las TIC en áreas como la agricultura, climatología, control de desastres, etc. las opciones se multiplican de forma exponencial.

imagen hyperspectral

Publicaciones en revista

  • C. González, S. Sánchez, A. Paz, J. Resano, D. Mozos, A. Plaza. "Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing". Integration, the VLSI Journal, v.46 n.2, p.89-103, March, 2013 [JCR(2013)=0.529].
  • A. Plaza, J. Plaza, A. Paz and S. Sanchez. "Parallel Hyperspectral Image and Signal Processing". IEEE Signal Processing Magazine, vol. 28, no. 3, pp. 119-126, Mayo 2011, [JCR(2011)=4.066].
  • A. Remon, S. Sanchez, A. Paz, E. S. Quintana-Orti and A. Plaza. "Real-Time Endmember Extraction on Multi-Core Processors". IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 5, pp. 924-928, Septiembre 2011 [JCR(2011)=1.560].
  • A. Paz and A. Plaza, "Clusters vs. GPUs for Parallel Automatic Target Detection in Hyperspectral Images", EURASIP Journal of Advances in Signal Processing. [JCR(2010)=1.053]. Volume 2010 (2010), Article ID 915639, 18 pages doi:10.1155/2010/915639.
    Open Access: http://asp.eurasipjournals.com/content/2010/1/915639 
  • S. Sánchez, A. Paz, G. Martín and A. Plaza. "Parallel unmixing of remotely sensed hyperspectral images on commodity graphics processing units". Concurrency and Computation: Practice & Experience, vol. 23, no. 13, pp. 1538-1557, September 2011. [JCR(2011)=0.636]
  • J. M. Molero, A. Paz, E. M. Garzón, J.A. Martínez, A. Plaza, I. García. "Fast Anomaly Detection in Hyperspectral Images with RX Method on Heterogenous Clusters." Journal of Supercomputing, vol. 58, no. 3, pp. 411-419, December 2011 [JCR(2011)=0.578].
  • A. Plaza, J. Plaza and A. Paz. "Improving the Scalability of Hyperspectral Imaging Applications on Heterogeneous Platforms Using Adaptive Run-Time Data Compression", Computers and Geosciences, vol. 36, no. 10, pp. 1283-1291, October 2010 [JCR(2010)=1.416]
  • A. Plaza, J. Plaza and A. Paz. "Parallel Heterogeneous CBIR System for Efficient Hyperspectral Image Retrieval Using Spectral Mixture Analysis". Concurrency and Computation: Practice & Experience, vol. 22, no. 9, pp. 1138-1159, June 2010 [JCR(2010)=0.907]

Congresos internacionales

  • A. Paz and A. Plaza. "A New Morphological Anomaly Detection Algorithm for Hyperspectral Images and its GPU Implementation". Submitted to SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference, San Diego, CA, 2011.
  • S. Sánchez, A. Paz and A. Plaza. "Real-Time Spectral Unmixing Using Iterative Error Analysis on Commodity Graphics Processing Units". Submitted to IEEE International Geoscience and Remote Sensing Symposium (IGARSS'11), Sendai, Japan, 2011.
  • A. Paz, J. M. Molero, E. M. Garzon, J. A. Martínez and A. Plaza. "A New Parallel Implementation of the RX Algorithm for Anomaly Detection in Hyperspectral Images". 10th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE'10), Almería, Spain, 2010.
  • S. Sánchez, G. Martín, A. Paz, A. Plaza, J. Plaza. "Near Real-Time Endmember Extraction from Remotely Sensed Hyperspectral Data Using NVidia GPUs". SPIE Photonics Europe, Real-Time Image and Video Processing Conference, Brussels, Belgium, 2010
  • A. Paz and A. Plaza. "Cluster versus GPU Implementation of an Orthogonal Target Detection Algorithm for Remotely Sensed Hyperspectral Images". IEEE International Conference on Cluster Computing (Cluster'10), Heraklion, Greece, 2010.
  • A. Plaza, S. Sanchez, A. Paz and J. Plaza. "GPUs versus FPGAs for Onboard Compression of Hyperspectral Data". 2nd International Workshop on On-Board Payload Data Compression (OBPDC'10), CNES, Toulouse, France, 2010.
  • A. Paz and A. Plaza. "GPU Implementation of Target and Anomaly Detection Algorithms for Remotely Sensed Hyperspectral Image Analysis". SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference, San Diego, CA, 2010.
  • A. Paz, A. Plaza and J. Plaza. "Comparative Analysis of Different Implementations of a Parallel Algorithm for Automatic Target Detection and Classification of Hyperspectral Images". SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference, San Diego, CA, 2009.
  • A. Plaza, J. Plaza, S. Sánchez and A. Paz. "Lossy Hyperspectral Image Compression Tuned for Spectral Mixture Analysis Applications on NVidia Graphics Processing Units". SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference, San Diego, CA, 2009.
  • J. Plaza, A. Plaza, D. Valencia and A. Paz. "Massively Parallel Processing of Hyperspectral Images." SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference, San Diego, CA, 2009.
  • A. Plaza, J. Plaza, S. Sánchez and A. Paz. "Optimizing a Hyperspectral Image Processing Chain Using Heterogeneous and GPU-Based Parallel Computing Architectures." 9th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE'09), Gijón, Spain, 2009.
  • A. Plaza, J. Plaza and A. Paz. "Improving the Scalability of Parallel Algorithms for Hyperspectral Image Analysis Using Adaptive Message Compression". IEEE International Geoscience and Remote Sensing Symposium (IGARSS'09), Cape Town, South Africa, 2009.
  • A. Paz, A. Plaza and S. Blázquez. "Parallel Implementation of Target Detection Algorithms for Hyperspectral Imagery". IEEE International Geoscience and Remote Sensing Symposium (IGARSS'08), Boston, MA, 2008
  • A. Plaza, J. Plaza, A. Paz y S. Blázquez, "Parallel CBIR System for Efficient Hyperspectral Image Retrieval from Heterogeneous Networks of Workstations", Workshop on Grid Computing Applications Development (GridCAD'07), Proceedings of the 9th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'07), Timisoara, Romania, 2007.
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