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- PAZ GALLARDO
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- A new morphological anomaly detection algorithm for hyperspectral images and its GPU implementation
- A new tool for supervised classification of satellite images available on web servers: Google Maps as a case study
- Automatic Detection of Aquatic Weeds: A Case Study in the Guadiana River, Spain
- Cluster versus GPU implementation of an orthogonal target detection algorithm for remotely sensed hyperspectral images
- Clusterization in head and neck squamous carcinomas based on lncRNA expression: molecular and clinical correlates
- Clusters versus GPUs for parallel target and anomaly detection in hyperspectral images
- Comparative analysis of different implementations of a parallel algorithm for automatic target detection and classification of hyperspectral images
- Efficiently Mapping Large Areas of Olive Trees Using Drones in Extremadura, Spain
- Fast anomaly detection in hyperspectral images with RX method on heterogeneous clusters
- GPU implementation of target and anomaly detection algorithms for remotely sensed hyperspectral image analysis
- Improving the scalability of parallel algorithms for hyperspectral image analysis using adaptive message compression
- Improving the scalability of hyperspectral imaging applications on heterogeneous platforms using adaptive run-time data compression
- Lossy hyperspectral image compression tuned for spectral mixture analysis applications on NVidia graphics processing units
- Mapping Invasive Aquatic Plants in Sentinel-2 Images Using Convolutional Neural Networks Trained With Spectral Indices
- Mapping the Accumulation of Invasive Aquatic Plants in the Guadiana River, Spain, Using Multitemporal Remote Sensing
- Massively parallel processing of remotely sensed hyperspectral images
- Modeling photosynthetically active radiation from satellite-derived estimations over mainland spain
- Monitoring the Spatiotemporal Distribution of Invasive Aquatic Plants in the Guadiana River, Spain
- Multicore and manycore: Hybrid computing architectures and applications
- Near real-time endmember extraction from remotely sensed hyperspectral data using NVidia GPUs
- Parallel CBIR system for efficient hyperspectral image retrieval from heterogeneous networks of workstations
- Parallel Implementation of Polarimetric Synthetic Aperture Radar Data Processing for Unsupervised Classification Using the Complex Wishart Classifier
- Parallel heterogeneous CBIR system for efficient hyperspectral image retrieval using spectral mixture analysis
- Parallel hyperspectral image and signal processing
- Parallel implementation of target and anomaly detection algorithms for hyperspectral imagery
- Parallel unmixing of remotely sensed hyperspectral images on commodity graphics processing units
- Performance optimizations for an automatic target generation process in hyperspectral analysis
- Real-time endmember extraction on multicore processors
- Real-time spectral unmixing using iterative error analysis on commodity graphics processing units
- Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing
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