Fast hyperspectral band selection based on spatial feature extraction
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-018-0777-9
Abstract: Hyperspectral images usually consist of hundreds of spectral bands, which can be used to precisely characterize different land cover types. However, the high dimensionality also has some disadvantages, such as the Hughes effect and a… read more here.
Keywords: selection; spatial feature; band; band selection ... See more keywords
Point cloud measurements-uncertainty calculation on spatial-feature based registration
Sign Up to like & getrecommendations! Published in 2019 at "Sensor Review"
DOI: 10.1108/sr-02-2018-0043
Abstract: Purpose Measurement uncertainty calculation is an important and complicated problem in digitised components inspection. In such inspections, a coordinate measuring machine (CMM) and laser scanner are usually used to get the surface point clouds of… read more here.
Keywords: registration; uncertainty; spatial feature; point ... See more keywords
Active Trace: A Sparse Spatiotemporal Representation for Videos
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2763963
Abstract: This paper proposes a sparse video representation with a deformable spatiotemporal template feature, named as active trace template. An active trace is the motion track of an active spatial feature, which moves in a certain… read more here.
Keywords: active trace; trace; spatial feature; trace sparse ... See more keywords
Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled Shearlet Transform
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2962744
Abstract: Most denoising methods are designed to deal standard images with specific type noise, which do not perform well when denoising real noisy images contain uncertain types of noise. However, underwater image is a typical uncertain… read more here.
Keywords: spatial feature; type noise; uncertain type; noise images ... See more keywords
Ensemble EMD-Based Spectral-Spatial Feature Extraction for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3018710
Abstract: Hyperspectral images (HSIs) have fine spectral information, and rich spatial information, of which the feature quality is one of the key factors that affect the classification performance. Therefore, how to extract essential features, and eliminate… read more here.
Keywords: feature extraction; spatial feature; feature; image ... See more keywords
A Spectral-Spatial Feature Extraction Method With Polydirectional CNN for Multispectral Image Compression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3158281
Abstract: Convolutional neural networks (CNN) has been widely used in the research of multispectral image compression, but they still face the challenge of extracting spectral feature effectively while preserving spatial feature with integrity. In this article,… read more here.
Keywords: spatial feature; polydirectional cnn; feature; feature extraction ... See more keywords
A Statistical-Spatial Feature Learning Network for PolSAR Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3100431
Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification plays an important role in the development of remote sensing image interpretation for the rich polarization information. Generative methods learn the statistical distribution characteristic of the scattered echoes… read more here.
Keywords: spatial feature; image classification; polsar image; image ... See more keywords
Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3144158
Abstract: In hyperspectral image (HSI) classification, each pixel sample is assigned to a land-cover category. In the recent past, convolutional neural network (CNN)-based HSI classification methods have greatly improved performance due to their superior ability to… read more here.
Keywords: spatial feature; classification; spectral spatial; feature ... See more keywords
MSLM-RF: A Spatial Feature Enhanced Random Forest for On-Board Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3194075
Abstract: Hyperspectral imaging (HSI) greatly improves the capacity to identify and monitor ground objects due to the high spectral resolution. As the real-time remote sensing monitoring and warning tasks are getting more attention, new algorithms for… read more here.
Keywords: spatial feature; classification; energy; board ... See more keywords
Dual-View Spectral and Global Spatial Feature Fusion Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3277467
Abstract: For hyperspectral image (HSI) classification, two branch networks generally use convolutional neural networks (CNNs) to extract the spatial features and long short-term memory (LSTM) to learn the spectral features. However, CNNs with a local kernel… read more here.
Keywords: view spectral; spatial feature; view; global spatial ... See more keywords