- Discriminating Spectral–Spatial Feature Extraction for Hyperspectral ...🔍
- Discriminating Spectral|Spatial Feature Extraction for Hyperspectral ...🔍
- Spectral–Spatial Feature Extraction for Hyperspectral Image ...🔍
- Discriminant Tensor Spectral–Spatial Feature Extraction for ...🔍
- Feature space discriminant analysis for hyperspectral data feature ...🔍
- Spectral|spatial Feature Extraction for Hyperspectral Image ...🔍
- Spectral–spatial feature extraction using orthogonal linear ...🔍
- An effective feature extraction method via spectral|spatial filter ...🔍
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 ...
Hyperspectral images (HSIs) contain subtle spectral details and rich spatial contextures of land cover that benefit from developments in ...
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 .
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 ...
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 ...
Discriminant Tensor Spectral–Spatial Feature Extraction for ...
We propose to integrate spectral-spatial feature extraction and tensor discriminant analysis for hyperspectral image classification.
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 ( ...
Feature space discriminant analysis for hyperspectral data feature ...
The discriminant information in the filtered image is extracted by a spectral-domain regularized local discriminant embedding and a spatial-domain local pixel ...
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...
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 ...
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 ...
Sensors MDPI on X: "Discriminating Spectral–Spatial Feature ...
Discriminating Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Review https://t.co/MBUoyxWXOx ...
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 ...
A new hyperspectral image classification method based on spatial ...
Next, the extracted information is convolved with random patches to extract spectral features. Finally, the spatial features and multi-level ...
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.
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 ...
Spectral–spatial feature extraction using orthogonal linear ...
Spectral–spatial feature extraction using orthogonal linear discriminant analysis for classification of hyperspectral data · Cite this article · CrossMark Logo ...
Spectral-Spatial Feature Extraction for Hyperspectral Image ...
... spatial information can provide more comprehensive and discriminative characteristics of objects of interest than traditional methods. Recently, hyperspectral ...