- Discriminating Spectral–Spatial Feature Extraction for Hyperspectral ...🔍
- Discriminant Tensor Spectral–Spatial Feature Extraction for ...🔍
- Spectral–Spatial Feature Extraction for Hyperspectral Image ...🔍
- A two|branch multiscale spectral|spatial feature extraction network ...🔍
- A new hyperspectral image classification method based on spatial ...🔍
- An effective feature extraction method via spectral|spatial filter ...🔍
- Spectral|spatial Feature Extraction for Hyperspectral Image ...🔍
- Spatial|Spectral Feature Extraction via Deep ConvLSTM Neural ...🔍
Discriminating Spectral|Spatial Feature Extraction for Hyperspectral ...
Discriminating Spectral–Spatial Feature Extraction for Hyperspectral ...
His current research interests include hyperspectral image processing and analysis, remote sensing image processing and its applications, computer vision, and ...
Discriminating Spectral–Spatial Feature Extraction for Hyperspectral ...
Recently, hyperspectral image (HSI) classification based on deep learning methods has attracted growing attention and made great progress .
Discriminant Tensor Spectral–Spatial Feature Extraction for ...
We propose to integrate spectral-spatial feature extraction and tensor discriminant analysis for hyperspectral image classification.
Discriminating Spectral–Spatial Feature Extraction for Hyperspectral ...
Discriminating Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Review. https://doi.org/10.3390/s24102987 ·. Journal: Sensors ...
Spectral–Spatial Feature Extraction for Hyperspectral Image ...
In this framework, a balanced local discriminant embedding algorithm is proposed for spectral feature extraction from high-dimensional ...
Discriminant Tensor Spectral–Spatial Feature Extraction for ...
The approach not only extracts sufficient spectral-spatial features from original hyperspectral images but also gets better feature representation owing to ...
Spectral–Spatial Feature Extraction for Hyperspectral Image ... - MDPI
[27] introduced an efficient version of Regularized Linear Discriminant Analysis (RLDA) for HSI classification, addressing the challenges when the ratio between ...
(PDF) Spectral–Spatial Feature Extraction for Hyperspectral Image ...
classification. Index Terms—Balanced local discriminant embedding (BLDE),. convolutional neural network (CNN), deep learning ( ...
A two-branch multiscale spectral-spatial feature extraction network ...
Feature learning using spatial-spectral hypergraph discriminant analysis for hyperspectral image. IEEE Transactions on Cybernetics, 49 (7) (2018), pp. 2406 ...
A new hyperspectral image classification method based on spatial ...
How to effectively overcome the above problems, extract multi-level nonlinear discriminant features from HSI data, and improve the ...
An effective feature extraction method via spectral-spatial filter ...
In the classification of hyperspectral image, two widely used feature extraction methods are Linear discriminant analysis (LDA) [4] and ...
Spectral-spatial Feature Extraction for Hyperspectral Image ...
By combining spatial and spectral information, it is possible to extract more comprehensive and discriminative representation for objects of interest than...
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural ...
... Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification. ... discriminative spatial-spectral ...
Feature space discriminant analysis for hyperspectral data feature ...
The experimental results on five popular hyperspectral images show the better performance of FSDA in comparison with other supervised feature extraction methods ...
FEATURE EXTRACTION OF HYPERSPECTRAL IMAGES USING ...
Because of the large number of spectral bands, the images acquired with imaging spectrometers are also referred to as hyperspectral images which are ...
Spectral–spatial feature extraction using orthogonal linear ...
This paper proposes a new supervised linear feature extraction method for classification of hyperspectral images using orthogonal linear discriminant analysis ...
Spectral–Spatial Feature Extraction for Hyperspectral Image ...
... spectral and spatial feature extraction, respectively. In this framework, a balanced local discriminant embedding algorithm is proposed for spectral feature ...
An effective feature extraction method via spectral-spatial filter ...
An effective feature extraction method via spectral-spatial filter discrimination analysis for hyperspectral image. Authors: Li Li.
Feature extraction for hyperspectral image classification: a review
... discriminative information, and modelling of spatial features. The spectral feature extraction process transforms the original data to a new space of a ...
Fusion of Dual Spatial Information for Hyperspectral Image ... - arXiv
... extract discriminative features from hyperspectral images. The SP extraction method is used here for the first time in the remote sensing ...