- Spatial|spectral Feature Extraction for Hyperspectral Image ...🔍
- HYPERSPECTRAL IMAGE FEATURE EXTRACTION BASED ON ...🔍
- Spatial|Spectral Feature for Extraction Technique for Hyperspectral ...🔍
- An effective feature extraction method via spectral|spatial filter ...🔍
- Spatial‐spectral feature extraction of hyperspectral images using ...🔍
- Hyperspectral image tensor feature extraction based on fusion of ...🔍
- Spectral|spatial Feature Extraction for Hyperspectral Image ...🔍
- Spatial|Spectral Feature Extraction via Deep ConvLSTM Neural ...🔍
Discriminating Spectral–Spatial Feature Extraction for Hyperspectral ...
Spatial-spectral 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 ...
HYPERSPECTRAL IMAGE FEATURE EXTRACTION BASED ON ...
KEY WORDS: Hyperspectral Image, Feature Extraction, Generalized Discriminant Analysis, Kernel Function. ABSTRACT: The hyperspectral image enriches spectrum ...
Spatial-Spectral Feature for Extraction Technique for Hyperspectral ...
Spatial-Spectral Feature for Extraction Technique for Hyperspectral Crop Classification. Vani V G1*, Thippeswamy K2. 1Associate professor, Department of ...
An effective feature extraction method via spectral-spatial filter ...
Detailed Record. Title: An effective feature extraction method via spectral-spatial filter discrimination analysis for hyperspectral image. Language: English
Spatial‐spectral feature extraction of hyperspectral images using ...
Abstract. Although the collaborative graph-based discriminant analysis (CGDA) method has shown promising performance for the feature extraction ...
An effective feature extraction method via spectral-spatial filter ...
An effective feature extraction method via spectral-spatial filter discrimination analysis for hyperspectral image. https://doi.org/10.1007/s11042-022-13121 ...
Hyperspectral image tensor feature extraction based on fusion of ...
Because of combing the multiple spatial-spectral features, the proposed algorithm can get more effective discriminating features. Thus, the ...
Spectral-spatial Feature Extraction for Hyperspectral Image ...
which means that TMP can extract more discriminative feature than EMP by fusing the spectral-spatial information in morphology operations.
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural ...
... Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification. ... discriminative spatial-spectral ...
A New Spatial–Spectral Feature Extraction Method for Hyperspectral ...
In [30], the pixels of the HSI are regarded as sequential data, and a recurrent neural network is used to exploit the discriminative information provided by the ...
A Discriminative Spectral-Spatial-Semantic Feature Network Based ...
Due to end-to-end optimization characteristics and fine generalization ability, convolutional neural networks have been widely applied to hyperspectral ...
Supervised non-negative tensor factorization for ... - NASA ADS
Hyperspectral imaging provides a highly discriminative and powerful ... feature extraction and target discrimination over hyperspectral data products.
Dynamic Spectral–Spatial Multiscale Feature Extraction Network for ...
discriminative feature information. Specifically, we ... "Target Detection Algorithms in Hyperspectral Imaging Based on Discriminant Analysis," Journal of.
Tensor Discriminative Locality Alignment for Hyperspectral Image ...
... HYPERSPECTRAL IMAGE SPECTRAL–SPATIAL FEATURE EXTRACTION. 253. TABLE VI. CLASS-SPECIFIC RATES IN PERCENTAGE FOR VARIOUS FEATURES IN DATA SET 2. Fig. 18. (a) RGB ...
Asymmetric coordinate attention spectral-spatial feature fusion ...
Coordinate attention is used to extract discriminative spectral-spatial features. Different from existing hyperspectral classification ...
Fast hyperspectral band selection based on spatial feature extraction
Differently, the band selection approach selects informative and discriminative bands from hyperspectral images without looking into the ...
Hyperspectral image spectral–spatial classification using local ...
In this article, a new local tensor discriminant spectral–spatial feature extraction (LTDSSFE) framework for HSI classification is proposed.
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 ...
Discriminative Low-Rank Gabor Filtering for Spectral ... - UMBC
to extract more discriminative spectral–spatial features than the 3-DGF (and ... Shen, “Three-dimensional. Gabor feature extraction for hyperspectral ...
S3AM: A Spectral-Similarity-Based Spatial Attention ... - NTNU Open
... spectral-spatial feature extraction and will lead to a restraint classification performance. ... extract the discriminating spectral-spatial features.