Literals
- bibo:eissn
- 15580571
- bibo:issn
- 1545598X
- 01545598
- dcterms:title
- IEEE Geoscience and Remote Sensing Letters
Typed Literals
- dcterms:identifier
- 3219 (xsd:integer)
Relations
- ou:factoresImpacto
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2009
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2010
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2011
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2012
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2013
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2014
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2015
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2016
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2017
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2018
- Factores de impacto de la revista IEEE Geoscience and Remote Sensing Letters del año 2019
- ou:otrosFactores
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2016
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2015
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2014
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2009
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2010
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2011
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2012
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2013
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2017
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2018
- Otros factores de la revista IEEE Geoscience and Remote Sensing Letters del año 2019
Inverse Relations
- Has related:
ou:publicadaEnRevista
- On the impact of lossy compression on hyperspectral image classification and unmixing
- A Joint Sparsity Approach to Soil Detection Using Expanded Bands of WV-2 Images
- A new preprocessing technique for fast hyperspectral endmember extraction
- A new sparse subspace clustering algorithm for hyperspectral remote sensing imagery
- A quantitative and comparative analysis of different implementations of N-FINDR: A fast endmember extraction algorithm
- A subspace-based multinomial logistic regression for hyperspectral image classification
- Endmember Extraction from Hyperspectral Imagery Based on Probabilistic Tensor Moments
- Fast and Reliable Noise Estimation for Hyperspectral Subspace Identification
- GPU Implementation of Spatial-Spectral Preprocessing for Hyperspectral Unmixing
- GPU Implementation of Composite Kernels for Hyperspectral Image Classification
- GPU implementation of an automatic target detection and classification algorithm for hyperspectral image analysis
- HyperMix: An Open-Source Tool for Fast Spectral Unmixing on Graphics Processing Units
- Hyperspectral Image Classification Using Random Occlusion Data Augmentation
- Hyperspectral Unmixing Based on Local Collaborative Sparse Regression
- Hyperspectral Unmixing Using Double Reweighted Sparse Regression and Total Variation
- Informative Change Detection by Unmixing for Hyperspectral Images
- Intersensor Remote Sensing Image Registration Using Multispectral Semantic Embeddings
- Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification
- Multicore Real-Time Implementation of a Full Hyperspectral Unmixing Chain
- Multimodal probabilistic latent semantic analysis for Sentinel-1 and Sentinel-2 image fusion
- Neighboring Region Dropout for Hyperspectral Image Classification
- Oil Spill Detection via Multitemporal Optical Remote Sensing Images: A Change Detection Perspective
- A fast iterative algorithm for implementation of pixel purity index
- Parallel hyperspectral unmixing on GPUs
- Parallel implementation of endmember extraction algorithms from hyperspectral data
- Parallel morphological endmember extraction using commodity graphics hardware
- Performance-Power Evaluation of an OpenCL Implementation of the Simplex Growing Algorithm for Hyperspectral Unmixing
- Real-Time Implementation of the Sparse Multinomial Logistic Regression for Hyperspectral Image Classification on GPUs
- Real-time endmember extraction on multicore processors
- Real-time implementation of the vertex component analysis algorithm on GPUs
- Real-time implementation of the pixel purity index algorithm for endmember identification on GPUs
- Region-based spatial preprocessing for endmember extraction and spectral unmixing
- Remote sensing single-image superresolution based on a deep compendium model
- Semisupervised hyperspectral image classification using soft sparse multinomial logistic regression
- Sentinel-2 and Sentinel-3 Intersensor Vegetation Estimation via Constrained Topic Modeling
- Sparse Unmixing-Based Content Retrieval of Hyperspectral Images on Graphics Processing Units
- Spectral mixture analysis of hyperspectral scenes using intelligently selected training samples
- Spectral-spatial classification of multispectral images using kernel feature space representation
- Stacked nonnegative sparse autoencoders for robust hyperspectral unmixing
- Subspace-based support vector machines for hyperspectral image classification
- The use of spherical statistics to analyze digital elevation models: An example from LIDAR and ASTER GDEM
- Unmixing prior to supervised classification of remotely sensed hyperspectral images
- Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing
- VecStatGraphs2D, A tool for the analysis of two-dimensional vector data: An example using QuikSCAT ocean winds