Literals
- ou:codigoRevista
- 2151-1535
- 1939-1404
- ou:categoriaSJR
- Computers in Earth Sciences (Q1)
- Atmospheric Science (Q1)
- vcard:country-name
- United States
- dcterms:coverage
- 2008-2020
- bibo:eissn
- 2151-1535
- dcterms:identifier
- 2016-3427
- bibo:issn
- 1939-1404
- dcterms:publisher
- Institute of Electrical and Electronics Engineers Inc.
- vcard:region
- Northern America
- ou:sjrMejorCuartil
- Q1
- dcterms:title
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Typed Literals
- ou:sjr
- 1.595 (http://www.w3.org/2001/XMLSchema#Decimal)
Inverse Relations
- Has related:
ou:publicadaEnRevista
- Fast Spatial Preprocessing for Spectral Unmixing of Hyperspectral Data on Graphics Processing Units
- A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image Classification
- A New Algorithm for Bilinear Spectral Unmixing of Hyperspectral Images Using Particle Swarm Optimization
- A New Genetic Method for Subpixel Mapping Using Hyperspectral Images
- Approximate Computing of Remotely Sensed Data: SVM Hyperspectral Image Classification as a Case Study
- Automatic Change Detection in High-Resolution Remote Sensing Images by Using a Multiple Classifier System and Spectral-Spatial Features
- Characterization of Soil Erosion Indicators Using Hyperspectral Data from a Mediterranean Rainfed Cultivated Region
- FPGA Implementation of an Algorithm for Automatically Detecting Targets in Remotely Sensed Hyperspectral Images
- A Hybrid CPU-GPU Real-Time Hyperspectral Unmixing Chain
- Harmonic Mixture Modeling for Efficient Nonlinear Hyperspectral Unmixing
- One-Class Classification of Remote Sensing Images Using Kernel Sparse Representation
- Parallel Hyperspectral Coded Aperture for Compressive Sensing on GPUs
- Parallel and Distributed Dimensionality Reduction of Hyperspectral Data on Cloud Computing Architectures
- Sparse Unmixing-Based Change Detection for Multitemporal Hyperspectral Images
- Spatial-Spectral Hyperspectral Image Classification Using Random Multiscale Representation
- Spectrometer-Driven Spectral Partitioning for Hyperspectral Image Classification