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Javier Plaza
2020 – today
- 2024
- [j82]Yushan Pan, Yang Xu
, Zebin Wu
A Mask Guided Oriented Object Detector Based on Rotated Size-Adaptive Tricube Kernel. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j81]Yunchang Wang
Cloud-Edge Selective Background Energy Constrained Filter for Real-Time Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j80]Peng Zheng
Unified Cloud-Based Framework for Hyperspectral and Multispectral Image Fusion Incorporating Nonlocal Principles and Tensor Decomposition. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [c51]Zhenjie Liu, Yong Deng, Jun Li, Javier Plaza, Antonio Plaza:
Fusing SAR Images and Social Media Data Through Domain Adaptation and Land Cover Information: A Case of 2017 Houston Flood Event. IGARSS 2024: 1218-1221 - 2023
- [j79]Lirong Han
Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j78]Peng Zheng
Distributed Nonlocal Coupled Hierarchical Tucker Decomposition for Hyperspectral Image Fusion. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j77]Yunchang Wang
CE-RX: A Collaborative Cloud-Edge Anomaly Detection Approach for Hyperspectral Images. Remote. Sens. 15(17): 4242 (2023) - [c50]Jun Hu, Shanshan Wu, Zebin Wu
Hyperspectral and Multispectral Image Fusion Target Detection based on Cloud-Edge Collaboration. IGARSS 2023: 6564-6567 - 2022
- [j76]Juan Mario Haut
GPU-Friendly Neural Networks for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j75]Xuanwen Tao
Endmember Estimation From Hyperspectral Images Using Geometric Distances. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j74]Xuanwen Tao
A New Deep Convolutional Network for Effective Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6999-7012 (2022) - [j73]Xuanwen Tao
Fast Orthogonal Projection for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j72]Zhaoyue Wu
Hyperspectral Anomaly Detection With Relaxed Collaborative Representation. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c49]Xuanwen Tao, Mercedes Eugenia Paoletti
A New 3D Convolution Network for Hyperspectral Unmixing. IGARSS 2022: 1620-1623 - [c48]Zhaoyue Wu
Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation. IGARSS 2022: 1979-1982 - 2021
- [j71]Tayeb Alipourfard
Multibranch Selective Kernel Networks for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(6): 1089-1093 (2021) - [j70]Mercedes Eugenia Paoletti
U-IMG2DSM: Unpaired Simulation of Digital Surface Models With Generative Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 18(7): 1288-1292 (2021) - [j69]Juan Mario Haut
Distributed Deep Learning for Remote Sensing Data Interpretation. Proc. IEEE 109(8): 1320-1349 (2021) - [j68]Xuanwen Tao
Endmember Estimation with Maximum Distance Analysis. Remote. Sens. 13(4): 713 (2021) - [j67]Mario Busquier
Fusion of Multi-Temporal PAZ and Sentinel-1 Data for Crop Classification. Remote. Sens. 13(19): 3915 (2021) - [j66]Alejandro Redondo
Analysis of Remotely Sensed Images Through Social Media. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3026-3039 (2021) - [j65]Mercedes Eugenia Paoletti
FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(7): 5938-5952 (2021) - [j64]Mercedes Eugenia Paoletti
Ghostnet for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10378-10393 (2021) - [c47]Xuanwen Tao, Lirong Han, Mercedes Eugenia Paoletti
Multiple Incremental Kernel Convolution for Land Cover Classification of Remotely Sensed Images. IGARSS 2021: 2548-2551 - [c46]Zhenjie Liu, Jun Li, Javier Plaza, Antonio Plaza:
Subspace Optimal Transport for Spatial Bias Correction of Social Media Data: A Case Study of 2013 Boulder Flood Event. IGARSS 2021: 3249-3252 - 2020
- [j63]Mercedes Eugenia Paoletti
Neighboring Region Dropout for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 17(6): 1032-1036 (2020) - [j62]Mercedes Eugenia Paoletti
A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification. Remote. Sens. 12(8): 1257 (2020) - [j61]Mercedes Paoletti
Neural Ordinary Differential Equations for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(3): 1718-1734 (2020) - [j60]Alessandro Maffei, Juan Mario Haut
A Single Model CNN for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 58(4): 2516-2529 (2020) - [j59]Mercedes Eugenia Paoletti
Scalable recurrent neural network for hyperspectral image classification. J. Supercomput. 76(11): 8866-8882 (2020) - [j58]Sergio Moreno-Álvarez
Training deep neural networks: a static load balancing approach. J. Supercomput. 76(12): 9739-9754 (2020) - [j57]Nanjun He
Skip-Connected Covariance Network for Remote Sensing Scene Classification. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1461-1474 (2020) - [c45]Mercedes Eugenia Paoletti
Training Capsnets via Active Learning for Hyperspectral Image Classification. IGARSS 2020: 40-43 - [c44]Zhaozhao Zeng
Spatial Downscaling for Global Precipitation Measurement Using a Geographically and Temporally Weighted Regression Model. IGARSS 2020: 5348-5351 - [c43]Lin Yan, Yonghong Hu, Xiaoming Li, Jun Li, Yong Zhang, Changyong Dou
Radiometric Calibration of Fengyun-3D Mersi-II Satellite: A Case Study in Lake Qinghai, China. IGARSS 2020: 6109-6112 - [c42]Zhenjie Liu, Jun Li, Javier Plaza
Spatial Bias Correction of Social Media Data by Exploiting Remote Sensing Knowledge in Data-Deficient Regions. IGARSS 2020: 7017-7020
2010 – 2019
- 2019
- [j56]Juan Mario Haut
Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(5): 776-780 (2019) - [j55]Juan Mario Haut
Remote Sensing Single-Image Superresolution Based on a Deep Compendium Model. IEEE Geosci. Remote. Sens. Lett. 16(9): 1432-1436 (2019) - [j54]Juan Mario Haut
Hyperspectral Image Classification Using Random Occlusion Data Augmentation. IEEE Geosci. Remote. Sens. Lett. 16(11): 1751-1755 (2019) - [j53]José Antonio Gallardo Jaramago
GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(9): 3156-3167 (2019) - [j52]Mercedes Eugenia Paoletti
Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(2): 740-754 (2019) - [j51]Nanjun He, Mercedes Eugenia Paoletti
Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(2): 755-769 (2019) - [j50]Mercedes Eugenia Paoletti
Capsule Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(4): 2145-2160 (2019) - [j49]Jin Sun, Yi Zhang, Zebin Wu
An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments. IEEE Trans. Geosci. Remote. Sens. 57(7): 4294-4308 (2019) - [j48]Juan Mario Haut
Visual Attention-Driven Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(10): 8065-8080 (2019) - [j47]Juan Mario Haut
Remote Sensing Image Superresolution Using Deep Residual Channel Attention. IEEE Trans. Geosci. Remote. Sens. 57(11): 9277-9289 (2019) - [j46]Juan Mario Haut
Cloud Deep Networks for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. 57(12): 9832-9848 (2019) - [c41]Mercedes Eugenia Paoletti
Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification. IGARSS 2019: 576-579 - [c40]Yuanchao Su, Jun Li, Hairong Qi, Paolo Gamba, Antonio Plaza
Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing. IGARSS 2019: 2127-2130 - [c39]Sergio Bernabé
Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis. IGARSS 2019: 9835-9838 - [c38]Alessandro Maffei, Juan Mario Haut
Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising. WHISPERS 2019: 1-4 - 2018
- [j45]Chen Chen, Wei Li, Lianru Gao, Heng-Chao Li, Javier Plaza
Special issue on advances in real-time image processing for remote sensing. J. Real Time Image Process. 15(3): 435-438 (2018) - [j44]Juan Mario Haut
Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines. J. Real Time Image Process. 15(3): 439-462 (2018) - [j43]Cong Li
A real-time unsupervised background extraction-based target detection method for hyperspectral imagery. J. Real Time Image Process. 15(3): 597-615 (2018) - [j42]Sergio Bernabé
Multicore Real-Time Implementation of a Full Hyperspectral Unmixing Chain. IEEE Geosci. Remote. Sens. Lett. 15(5): 744-748 (2018) - [j41]Rubén Fernández-Beltran, Juan Mario Haut
Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion. IEEE Geosci. Remote. Sens. Lett. 15(9): 1347-1351 (2018) - [j40]Yuanchao Su
Stacked Nonnegative Sparse Autoencoders for Robust Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 15(9): 1427-1431 (2018) - [j39]Mercedes Eugenia Paoletti
Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification. Remote. Sens. 10(9): 1454 (2018) - [j38]Zebin Wu
GPU Parallel Implementation of Spatially Adaptive Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1131-1143 (2018) - [j37]Rubén Fernández-Beltran, Juan Mario Haut
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4982-4993 (2018) - [j36]Leyuan Fang
A New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation. IEEE Trans. Geosci. Remote. Sens. 56(6): 3534-3546 (2018) - [j35]Rubén Fernández-Beltran, Antonio Plaza
Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis. IEEE Trans. Geosci. Remote. Sens. 56(11): 6344-6360 (2018) - [j34]Juan Mario Haut
Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach. IEEE Trans. Geosci. Remote. Sens. 56(11): 6440-6461 (2018) - [j33]Andrea Marinoni
Estimating Nonlinearities in p-Linear Hyperspectral Mixtures. IEEE Trans. Geosci. Remote. Sens. 56(11): 6586-6595 (2018) - [j32]Juan Mario Haut
A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 56(11): 6792-6810 (2018) - [j31]Nanjun He, Leyuan Fang
Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling. IEEE Trans. Geosci. Remote. Sens. 56(12): 6899-6910 (2018) - [c37]Juan Mario Haut
Inter-Sensor Regression Analysis for Operational Sentinel-2 and Sentinel-3 Data Products. IGARSS 2018: 2603-2606 - [c36]Juan Mario Haut
Evaluation of Different Regularization Methods for the Extreme Learning Machine Applied to Hyperspectral Images. IGARSS 2018: 3603-3606 - [c35]Mercedes Eugenia Paoletti
An Investigation on Self-Normalized Deep Neural Networks for Hyperspectral Image Classification. IGARSS 2018: 3607-3610 - 2017
- [j30]Jun Li
Social Media: New Perspectives to Improve Remote Sensing for Emergency Response. Proc. IEEE 105(10): 1900-1912 (2017) - [j29]Luis-Ignacio Jimenez
Parallel Implementation of Spatial-Spectral Endmember Extraction on Graphic Processing Units. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1247-1255 (2017) - [j28]Renlong Hang, Qingshan Liu, Yubao Sun, Xiaotong Yuan, Hucheng Pei, Javier Plaza
Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(5): 2002-2011 (2017) - [j27]Behnood Rasti, Pedram Ghamisi
Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis. IEEE Trans. Geosci. Remote. Sens. 55(11): 6354-6365 (2017) - [j26]Luis-Ignacio Jimenez
Efficient implementation of morphological index for building/shadow extraction from remotely sensed images. J. Supercomput. 73(1): 482-494 (2017) - [j25]Juan Mario Haut
Cloud implementation of the K-means algorithm for hyperspectral image analysis. J. Supercomput. 73(1): 514-529 (2017) - [c34]Shaoquan Zhang, Jun Li, Javier Plaza
Spatial weighted sparse regression for hyperspectral image unmixing. IGARSS 2017: 225-228 - [c33]Miguel Penalver, Fabio Del Frate, Mercedes Eugenia Paoletti
Onboard payload-data dimensionality reduction. IGARSS 2017: 783-786 - [c32]Mercedes Eugenia Paoletti
Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification. IGARSS 2017: 2247-2250 - [c31]Changyu Zhu, Shaoquan Zhang, Javier Plaza
Impervious surface extraction from multispectral images using morphological attribute profiles and spectral mixture analysis. IGARSS 2017: 6283-6286 - 2016
- [j24]Luis-Ignacio Jimenez
GPU Implementation of Spatial-Spectral Preprocessing for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 13(11): 1671-1675 (2016) - [j23]Jaime Delgado
Fast Spatial Preprocessing for Spectral Unmixing of Hyperspectral Data on Graphics Processing Units. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 952-961 (2016) - [c30]Jaime Delgado, Gabriel Martín
On the optimization of memory access to increase the performance of spatial preprocessing techniques on graphics processing units. IGARSS 2016: 6541-6544 - [c29]Luis-Ignacio Jimenez, Gabriel Martín
Fast spatial-spectral preprocessing for endmember extraction and spectral unmixing using graphic processing units. IGARSS 2016: 7038-7041 - [c28]Andrea Marinoni, Javier Plaza
An iterative enhancement of higher order nonlinear mixture model for accurate hyperspectral unmixing. WHISPERS 2016: 1 - [i1]Qingshan Liu, Renlong Hang, Huihui Song, Fuping Zhu, Javier Plaza, Antonio Plaza:
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification. CoRR abs/1611.03589 (2016) - 2015
- [j22]Andrea Marinoni, Javier Plaza
Nonlinear Hyperspectral Unmixing Using Nonlinearity Order Estimation and Polytope Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2644-2654 (2015) - [c27]Jaime Delgado
GPU implementation of spatial preprocessing for spectral unmixing of hyperspectral data. IGARSS 2015: 5043-5046 - 2014
- [c26]Andrea Marinoni, Javier Plaza
Integrating multiple nonlinear estimators into hyperspectral unmixing. WHISPERS 2014: 1-4 - 2013
- [j21]Eligius M. T. Hendrix
On the minimum volume simplex enclosure problem for estimating a linear mixing model. J. Glob. Optim. 56(3): 957-970 (2013) - 2012
- [j20]Javier Plaza
On Endmember Identification in Hyperspectral Images Without Pure Pixels: A Comparison of Algorithms. J. Math. Imaging Vis. 42(2-3): 163-175 (2012) - [j19]Eligius M. T. Hendrix
A New Minimum-Volume Enclosing Algorithm for Endmember Identification and Abundance Estimation in Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 50(7): 2744-2757 (2012) - 2011
- [j18]Antonio Plaza
Parallel Hyperspectral Image and Signal Processing [Applications Corner]. IEEE Signal Process. Mag. 28(3): 119-126 (2011) - [c25]Gabriel Martín
On the incorporation of spatial information to endmember identification algorithms without the pure pixel assumption. WHISPERS 2011: 1-4 - 2010
- [j17]Antonio J. Plaza
Parallel heterogeneous CBIR system for efficient hyperspectral image retrieval using spectral mixture analysis. Concurr. Comput. Pract. Exp. 22(9): 1138-1159 (2010) - [j16]Antonio Plaza
Improving the scalability of hyperspectral imaging applications on heterogeneous platforms using adaptive run-time data compression. Comput. Geosci. 36(10): 1283-1291 (2010) - [j15]Javier Plaza
Spectral Mixture Analysis of Hyperspectral Scenes Using Intelligently Selected Training Samples. IEEE Geosci. Remote. Sens. Lett. 7(2): 371-375 (2010) - [j14]Antonio Plaza
Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems. J. Signal Process. Syst. 61(3): 293-315 (2010) - [c24]Antonio Plaza
Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images. ICPR 2010: 4412-4415 - [c23]Eligius M. T. Hendrix
Minimum volume simplicial enclosure for spectral unmixing of remotely sensed hyperspectral data. IGARSS 2010: 193-196 - [c22]Sergio Sánchez, Gabriel Martín
Near real-time endmember extraction from remotely sensed hyperspectral data using NVidia GPUs. Real-Time Image and Video Processing 2010: 772409 - [c21]Antonio J. Plaza
Automatic selection of informative samples for SVM-based classification of hyperspectral data using limited training sets. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j13]Javier Plaza
On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images. Pattern Recognit. 42(11): 3032-3045 (2009) - [j12]Javier Plaza
Multi-Channel Morphological Profiles for Classification of Hyperspectral Images Using Support Vector Machines. Sensors 9(1): 196-218 (2009) - [c20]Antonio Plaza
Spatial-spectral endmember extraction from hyperspectral imagery using multi-band morphology and volume optimization. ICIP 2009: 3721-3724 - [c19]Fermin Ayuso, Javier Setoain, Manuel Prieto
Endmember Extraction from Hyperspectral Imagery using a Parallel Ensemble Approach with Consensus Analysis. IGARSS (5) 2009: 88-91 - [c18]Antonio Plaza
Improving the Scalability of Parallel Algorithms for Hyperspectral Image Analysis using Adaptive Message Compression. IGARSS (4) 2009: 196-199 - [c17]Antonio Plaza
Parallel Implementation of Endmember Extraction Algorithms using NVidia Graphical Processing Units. IGARSS (5) 2009: 208-211 - 2008
- [j11]Javier Plaza
Parallel morphological/neural processing of hyperspectral images using heterogeneous and homogeneous platforms. Clust. Comput. 11(1): 17-32 (2008) - [j10]David Valencia, Alexey L. Lastovetsky
Parallel Processing of Remotely Sensed Hyperspectral Images On Heterogeneous Networks of Workstations Using HeteroMPI. Int. J. High Perform. Comput. Appl. 22(4): 386-407 (2008) - [j9]Antonio Plaza
An experimental comparison of parallel algorithms for hyperspectral analysis using heterogeneous and homogeneous networks of workstations. Parallel Comput. 34(2): 92-114 (2008) - [c16]Antonio Plaza
Parallel Morphological Classification of Hyperspectral Imagery Using Extended Opening and Closing by Reconstruction Operations. IGARSS (1) 2008: 58-61 - 2007
- [j8]David Valencia, Antonio Plaza, Pablo Martínez, Javier Plaza:
Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures. Int. J. Comput. Their Appl. 14(1): 23-34 (2007) - [j7]Antonio Plaza
Impact of platform heterogeneity on the design of parallel algorithms for morphological processing of high-dimensional image data. J. Supercomput. 40(1): 81-107 (2007) - [c15]Javier Plaza
Joint linear/nonlinear spectral unmixing of hyperspectral image data. IGARSS 2007: 4037-4040 - [c14]Antonio Plaza
Parallel Detection of Targets in Hyperspectral Images Using Heterogeneous Networks of Workstations. PDP 2007: 333-340 - [c13]Antonio Plaza
Parallel CBIR System for Efficient Hyperspectral Image Retrieval from Heterogeneous Networks of Workstations. SYNASC 2007: 285-291 - 2006
- [j6]Antonio Plaza
Commodity cluster-based parallel processing of hyperspectral imagery. J. Parallel Distributed Comput. 66(3): 345-358 (2006) - [j5]Antonio Plaza
Parallel implementation of endmember extraction algorithms from hyperspectral data. IEEE Geosci. Remote. Sens. Lett. 3(3): 334-338 (2006) - [c12]Javier Plaza
Parallel Morphological/Neural Classification of Remote Sensing Images Using Fully Heterogeneous and Homogeneous Commodity Clusters. CLUSTER 2006 - [c11]Antonio Plaza
AMEEPAR: Parallel Morphological Algorithm for Hyperspectral Image Classification on Heterogeneous Networks of Workstations. International Conference on Computational Science (3) 2006: 24-31 - [c10]Antonio Plaza
Distributed Computing for Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks of Workstations. ICDCS 2006: 28 - [c9]Javier Setoain, Christian Tenllado
Parallel Hyperspectral Image Processing on Commodity Graphics Hardware. ICPP Workshops 2006: 465-472 - [c8]Antonio J. Plaza
Parallel Implementation of Hyperspectral Image Processing Algorithms. IGARSS 2006: 940-943 - [c7]Antonio Plaza
High-performance computing in remotely sensed hyperspectral imaging: the Pixel Purity Index algorithm as a case study. IPDPS 2006 - 2005
- [j4]Antonio Plaza
Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations. IEEE Trans. Geosci. Remote. Sens. 43(3): 466-479 (2005) - [c6]Javier Plaza
Automated generation of semi-labeled training samples for nonlinear neural network-based abundance estimation in hyperspectral data. IGARSS 2005: 1261-1264 - [c5]Antonio Plaza
Efficient information extraction from hyperspectral imagery using networks of workstations. IGARSS 2005: 5598-5601 - [c4]David Valencia, Antonio J. Plaza
On the Use of Cluster Computing Architectures for Implementation of Hyperspectral Image Analysis Algorithms. ISCC 2005: 995-1000 - [c3]David Valencia, Antonio J. Plaza, Rosa M. Pérez, M. C. Cantero, Pablo Martínez, Javier Plaza:
Parallel Endmember Extraction Techniques Applied to a Self-Organizing Neural Network for Hyperspectral Image Classification. PARCO 2005: 591-598 - 2004
- [j3]Antonio J. Plaza
A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles. Pattern Recognit. 37(6): 1097-1116 (2004) - [j2]Antonio Plaza
A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data. IEEE Trans. Geosci. Remote. Sens. 42(3): 650-663 (2004) - 2003
- [c2]Javier Plaza
H-COMP: a tool for quantitative and comparative analysis of endmember identification algorithms. IGARSS 2003: 291-293 - [c1]Antonio Plaza
A new method for target detection in hyperspectral imagery based on extended morphological profiles. IGARSS 2003: 3772-3774 - 2002
- [j1]Antonio Plaza
Spatial/spectral endmember extraction by multidimensional morphological operations. IEEE Trans. Geosci. Remote. Sens. 40(9): 2025-2041 (2002)
Coauthor Index
Luis Ignacio Jiménez Gil
aka: Luis-Ignacio Jimenez
aka: Luis-Ignacio Jimenez
Mercedes Eugenia Paoletti
aka: Mercedes Paoletti
aka: Mercedes Paoletti
Antonio Plaza
aka: Antonio J. Plaza
aka: Antonio J. Plaza
[j82] [j81] [j80] [c51] [j79] [j78] [j77] [c50] [j76] [j75] [j74] [j73] [j72] [c49] [c48] [j71] [j70] [j69] [j68] [j66] [j65] [j64] [c47] [c46] [j63] [j62] [j61] [j60] [j59] [j57] [c45] [c44] [c43] [c42] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [c41] [c40] [c39] [c38] [j44] [j43] [j42] [j41] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [c37] [c36] [c35] [j29] [j28] [j27] [j26] [j25] [c34] [c33] [c32] [c31] [j24] [j23] [c30] [c29] [c28] [i1] [j22] [c27] [c26] [j21] [j20] [j19] [j18] [c25] [j17] [j16] [j15] [j14] [c24] [c23] [c22] [c21] [j13] [j12] [c20] [c19] [c18] [c17] [j11] [j10] [j9] [c16] [j8] [j7] [c15] [c14] [c13] [j6] [j5] [c12] [c11] [c10] [c9] [c8] [c7] [j4] [c6] [c5] [c4] [c3] [j3] [j2] [c2] [c1] [j1]
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