- An effective feature extraction method via spectral|spatial filter ...🔍
- Spectral–Spatial Feature Extraction for Hyperspectral Image ...🔍
- A new hyperspectral image classification method based on spatial ...🔍
- An effective feature selection method for hyperspectral image ...🔍
- A New Spatial–Spectral Feature Extraction Method for Hyperspectral ...🔍
- An Effective Feature Extraction Approach Based on Spectral|Gabor ...🔍
- Spectral–spatial feature extraction using orthogonal linear ...🔍
- Spectral|Spatial Feature Extraction of Hyperspectral Images Based ...🔍
An effective feature extraction method via spectral|spatial filter ...
An effective feature extraction method via spectral-spatial filter ...
An effective feature extraction method (SSF_HM) was proposed via using harmonic mean and spectral-spatial filter.
An effective feature extraction method via spectral-spatial filter ...
Therefore, an effective feature extraction method (SSF_HM) was proposed via using harmonic mean and spectral-spatial filter. This investigation divides the ...
An effective feature extraction method via spectral-spatial filter ...
An effective feature extraction method via spectral-spatial filter discrimination analysis for hyperspectral image. Language: English; Authors: Li, Li1,2 ...
An effective feature extraction method via spectral-spatial filter ...
Request PDF | An effective feature extraction method via spectral-spatial filter discrimination analysis for hyperspectral image | Multi band, high spatial ...
An effective feature extraction method via spectral-spatial filter ...
An effective feature extraction method via spectral-spatial filter discrimination analysis for hyperspectral image. Li Li 1, 2. ,. Jian-qiang Gao 1. ,. Hongwei ...
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 ...
Spectral–Spatial Feature Extraction for Hyperspectral Image ... - MDPI
[37] used a concatenation of three-dimensional and two-dimensional CNNs to extract features from HSI.This method not only comprehensively extracts spatial– ...
SSFAN: A Compact and Efficient Spectral-Spatial Feature Extraction ...
[61] proposed a novel morphFormer network for HSI classification, enhancing feature interaction through the combination of an attention mechanism with learnable ...
A new hyperspectral image classification method based on spatial ...
Gabor filter is an effective unsupervised feature information extraction method. It has a stronger ability to describe the texture and ...
(PDF) 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 ...
An effective feature selection method for hyperspectral image ...
The extracted constants were then used as new features. Serpico and Moser [28] put forward a procedure to extract spectral channels of variable bandwidths. Each ...
A New Spatial–Spectral Feature Extraction Method for Hyperspectral ...
A New Spatial–Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation.
An Effective Feature Extraction Approach Based on Spectral-Gabor ...
Experimental results on three hyperspectral datasets show the better classification performance of the SGDA method than the state-of-art methods ...
Spectral–spatial feature extraction using orthogonal linear ...
The methods proposed in the previous section are efficient for extracting the spatial features of a single band image. Because hyperspectral sensors provide a ...
Spectral-Spatial Feature Extraction of Hyperspectral Images Based ...
Pan et al. [30] constructed a hierarchical guidance filtering and a matrix of spectral angle distance and iteratively trained classifiers using ...
Spectrum feature extraction method combining Allan variance, VMD ...
Spectrum feature extraction plays a crucial role in identifying seismic events and calculating structural response parameters.
Novel Deep-Learning-Based Spatial-Spectral Feature Extraction For ...
A convolutional neural network based supervised classification is then performed to validate the performance of the proposed method with respect to conventional ...
FEATURE EXTRACTION OF HYPERSPECTRAL IMAGES USING ...
However, the classification methods that have been successfully applied to multispectral data in the past are not as effective as to hyperspectral data. The ...
Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural ...
Two novel deep models are proposed to extract more discriminative spatial–spectral features by exploiting the convolutional LSTM (ConvLSTM) and can provide ...
Adaptive total variation-based spectral-spatial feature extraction of ...
The proposed method consists of the following steps: First, the spectral dimension of the HSI is reduced with principal component analysis (PCA). Then, ATVF is ...