Feature Extraction for Hyperspectral Image Classification Based o...

Feature extraction for hyperspectral image classification - IEEE Xplore

Remote sensing hyperspectral image (HSI) contains important information of ground surface as a set of hundreds of narrow and contiguous spectral bands.

Feature extraction for hyperspectral image classification: a review

1. Hyperspectral images are captured in hundreds of fine narrow contiguous spectral bands (Goetz 2009) in visible to infrared regions of electromagnetic ...

[2003.02822] Feature Extraction for Hyperspectral Imagery - arXiv

... of hyperspectral feature extraction and its application on hyperspectral image classification. Additionally, this paper compares 15 advanced ...

Feature Extraction and Classification in Hyperspectral Images

Hyperspectral imaging captures a wide spectrum of light for each pixel in an image, resulting in hundreds of spectral bands. Each pixel contains ...

Feature extraction for hyperspectral image classification: a review

A review of the major feature extraction techniques is presented and experimental results are presented for two benchmark hyperspectral images to evaluate ...

Feature extraction for hyperspectral image classification: a review

Various mathematical techniques are applied for modelling spatial features based on pixel spatial neighbourhood relations. In this paper, a review of the major ...

Functional Feature Extraction for Hyperspectral Image Classification ...

A functional feature extraction method based on rational function approximation for hyperspectral image (HSI) classification is proposed.

FEATURE EXTRACTION OF HYPERSPECTRAL IMAGES USING ...

In addition, a new feature extraction method based on the matching pursuit with wavelet packet is used to extract useful features for classification. An AVIRIS ...

Hyperspectral image classification based on spectral feature extraction

The main methods used to extract spectral features of hyperspectral images are principal component analysis (PCA) and linear discriminant ...

Feature extraction for hyperspectral image classification

The experimental result shows that the classification accuracy of KPCA and KECA outperforms FPCA, however, the F PCA provides the less space complexity.

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 ...

Feature Extraction for Hyperspectral Image Classification Based o...

An application of SIFT-LPP algorithm was proposed for the feature extraction of hyperspectral images. First of all, gradient features are obtained from the key ...

Hyperspectral imaging classification based on LBP feature ...

We propose a method of feature extraction using a uniform local binary pattern and ensemble multiple models to classify features.

Spectral–Spatial Feature Extraction for Hyperspectral Image ... - MDPI

[16] proposed a new classification framework based on the gravitational optimized multilayer perception classifier and EMAP, combined with Sentinel-2 ...

Unsupervised Spectral Feature Extraction for Hyperspectral Image ...

Vaddi has presented a mechanism based on HSI classification using spectral and spatial features integration in CNN [19], Initially, ...

Feature extraction of hyperspectral images using wavelet and ...

For the applications of hyperspectral image classification, it seems that the high dimensionality of hyperspectral data should increase the abilities in ...

Supervised Deep Feature Extraction for Hyperspectral Image ...

In this paper, a novel supervised deep feature extraction method based on siamese convolutional neural network (S-CNN) is proposed to improve the performance of ...

Multi-Level Feature Extraction Networks for Hyperspectral Image ...

Hyperspectral image (HSI) classification plays a key role in the field of earth observation missions. Recently, transformer-based approaches have been ...

Discriminating Spectral–Spatial Feature Extraction for Hyperspectral ...

Classification, as one of the main missions of the analysis of hyperspectral images (HSIs) [9], aims to recognize the class of every pixel of a ...

Smart feature extraction and classification of hyperspectral images ...

The hyperspectral image is a succession of superimposed spectral bands, captured by a satellite, where each pixel, not only has a large spatial ...