Introduction of Spatio-Spectral Indices for Using Spatial Data in Multispectral Image Classification
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-019-00960-4
Abstract: Abstract Different methods of using spatial information in image classification are presented. One approach is to quantify image texture to produce features for use in classifiers, and there are various methods with adjustable parameters for… read more here.
Keywords: image; spectral indices; using spatial; spatio spectral ... See more keywords
Sample-Efficient Spatio-Spectral Whitespace Detection Using Least Matching Pursuit
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3117255
Abstract: Multi-antenna wireless communication improves spectral efficiency by reusing frequencies at different locations in space using beamforming and spatial multiplexing. In the past, research has extensively focused on dynamically reusing unused frequency bands to optimize spectrum… read more here.
Keywords: spatio spectral; spectral whitespace; whitespace; whitespace detection ... See more keywords
SSNO: Spatio-spectral Neural Operator for Functional Space Learning of Partial Differential Equations.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3148401
Abstract: Recent research to solve the parametric partial differential equations shifted the focus of conventional neural networks from finite-dimensional Euclidean space to generalized functional spaces. Neural operators learn the generalized function mapping directly, which was achieved… read more here.
Keywords: partial differential; spatio spectral; spectral neural; neural operator ... See more keywords
Improving Upper Limb Movement Classification from EEG Signals Using Enhanced Regularized Correlation-Based Common Spatio-Spectral Patterns
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3563417
Abstract: Detection of movement from electroencephalogram (EEG) signals is crucial for advancing brain-computer interface (BCI) systems, particularly in rehabilitating individuals with disabilities. This study focuses on decoding two types of ipsilateral movements (right arm and thumb)… read more here.
Keywords: eeg signals; classification; spatio spectral; correlation ... See more keywords
Adjustable Spatio-Spectral Hyperspectral Image Compression Network
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3624884
Abstract: With the rapid growth of hyperspectral data archives in remote sensing, the need for efficient storage has become essential, driving significant attention toward learning-based hyperspectral image (HSI) compression. However, a comprehensive investigation of the individual… read more here.
Keywords: spatio spectral; module; hyperspectral image; learning based ... See more keywords
Graph Spatio-Spectral Total Variation Model for Hyperspectral Image Denoising
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3192912
Abstract: The spatio-spectral total variation (SSTV) model has been widely used as an effective regularization of hyperspectral images (HSIs) for various applications such as mixed noise removal. However, since SSTV computes local spatial differences uniformly, it… read more here.
Keywords: problem; total variation; spatio spectral; model ... See more keywords
Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2022.3152700
Abstract: Physical acquisition of high-resolution hyperspectral images (HR-HSI) has remained difficult, despite its potential of resolving material-related ambiguities in vision applications. Deep hyperspectral image fusion, aiming at reconstructing an HR-HSI from a pair of low-resolution hyperspectral… read more here.
Keywords: fusion; spectral regularization; spatio spectral; hyperspectral image ... See more keywords
S2ML: Spatio-Spectral Mutual Learning for Depth Completion
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3639949
Abstract: The raw depth images captured by RGB-D cameras using Time-of-Flight (TOF) or structured light often suffer from incomplete depth values due to weak reflections, boundary shadows, and artifacts, which limit their applications in downstream vision… read more here.
Keywords: spatio spectral; depth completion; spectral mutual; depth ... See more keywords
Spatio–Spectral Representation Learning for Electroencephalographic Gait-Pattern Classification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2018.2864119
Abstract: The brain plays a pivotal role in locomotion by coordinating muscles through interconnections that get established by the peripheral nervous system. To date, many attempts have been made to reveal the underlying mechanisms of humans’… read more here.
Keywords: representation learning; classification; pattern classification; gait pattern ... See more keywords
Integrated Waveform Design for MIMO Radar and Communication via Spatio-Spectral Modulation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3170687
Abstract: This paper considers the integrated waveform design to simultaneously achieve a desired radar beampattern and multi-users communication for a dual-function Multiple-Input Multiple-Output (MIMO) system. To this end, a spatio-spectral modulation strategy via shaping the spatial… read more here.
Keywords: communication; spatio spectral; spectral modulation; radar ... See more keywords
Unsupervised segmentation of biomedical hyperspectral image data: tackling high dimensionality with convolutional autoencoders
Sign Up to like & getrecommendations! Published in 2022 at "Biomedical Optics Express"
DOI: 10.1364/boe.476233
Abstract: Information about the structure and composition of biopsy specimens can assist in disease monitoring and diagnosis. In principle, this can be acquired from Raman and infrared (IR) hyperspectral images (HSIs) that encode information about how… read more here.
Keywords: spatio spectral; segmentation; high dimensionality; end ... See more keywords