The following publications are possibly variants of this publication:
- FPGA Implementation of an Algorithm for Automatically Detecting Targets in Remotely Sensed Hyperspectral ImagesCarlos González, Sergio Bernabé, Daniel Mozos, Antonio Plaza. staeors, 9(9):4334-4343, 2016. [doi]
- Clusters versus GPUs for Parallel Target and Anomaly Detection in Hyperspectral ImagesAbel Paz, Antonio Plaza. ejasp, 2010, 2010. [doi]
- Real-time implementation of remotely sensed hyperspectral image unmixing on GPUsSergio Sánchez, Rui Ramalho, Leonel Sousa, Antonio Plaza. jrtip, 10(3):469-483, 2015. [doi]
- GPU Implementation of an Automatic Target Detection and Classification Algorithm for Hyperspectral Image AnalysisSergio Bernabe, Sebastián López, Antonio Plaza, Roberto Sarmiento. lgrs, 10(2):221-225, 2013. [doi]
- FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed Hyperspectral Image AnalysisCarlos González, Daniel Mozos, Javier Resano, Antonio Plaza. tgrs, 50(2):374-388, 2012. [doi]
- GPU Implementation of Iterative-Constrained Endmember Extraction from Remotely Sensed Hyperspectral ImagesEysteinn Mar Sigurdsson, Antonio Plaza, Jon Atli Benediktsson. staeors, 8(6):2939-2949, 2015. [doi]
- Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processingCarlos González, Sergio Sánchez, Abel Paz, Javier Resano, Daniel Mozos, Antonio Plaza. integration, 46(2):89-103, 2013. [doi]
- Hyperspectral and Multispectral Image Fusion for Remotely Sensed Target Detection: A New Cloud-Edge Collaborative ApproachZebin Wu 0001, Chenxin Liu, Jin Sun 0001, Jun Hu, Zhihui Wei, Javier Plaza, Antonio Plaza. tgrs, 63:1-13, 2025. [doi]