- Spatial|spectral feature classification of hyperspectral image using a ...🔍
- Spectral|spatial classification of hyperspectral image using ...🔍
- A new hyperspectral image classification method based on spatial ...🔍
- Spectral|Spatial Classification of Hyperspectral Image Using ...🔍
- Spatial|spectral classification of hyperspectral remote sensing ...🔍
- Spatial|spectral hyperspectral image classification based on ...🔍
- Spectral–Spatial Feature Extraction for Hyperspectral Image ...🔍
- Spectral|Spatial Classification of Hyperspectral Images Using Label ...🔍
Spatial|spectral feature classification of hyperspectral image using a ...
Spatial-spectral feature classification of hyperspectral image using a ...
A pretrained deep convolutional neural network based on the ImageNet dataset is used to extract spatial features of a hyperspectral image.
Spectral-spatial classification of hyperspectral image using ...
Abstract: Hyperspectral image (HSI) classification is a hot topic in the remote sensing community. This paper proposes a new framework of spectral-spatial ...
A new hyperspectral image classification method based on spatial ...
Finally, the spatial features and multi-level spectral features are fused to classify the images using the Support Vector Machine classifier. In ...
Spectral-Spatial Classification of Hyperspectral Image Using ... - arXiv
This paper proposes a new framework of spectral-spatial feature extraction for HSI classification, in which for the first time the concept of deep learning is ...
Spatial-spectral classification of hyperspectral remote sensing ...
Li et al. [26] proposed a new HRSI classification method using optimal deep belief network and texture feature enhancement. In this study, first of all, ...
Spatial-spectral hyperspectral image classification based on ...
The rich spectral information and spatial information of hyperspectral images are useful for the classification of the ground objects. However, ...
Spectral–Spatial Feature Extraction for Hyperspectral Image ... - MDPI
This study introduces a novel classification network by extracting spectral–spatial features with an enhanced Transformer with Large-Kernel Attention (ETLKA).
Spectral-Spatial Classification of Hyperspectral Images Using Label ...
Abstract: Hyperspectral images are rich in both spectral information and spatial dependence information between pixels; however, ...
Spectral-spatial classification of hyperspectral imagery with ...
Hyperspectral image classification can be considered as a labeling problem of mapping the predefined semantic labels to each pixel or clique for a hyperspectral ...
Hyperspectral Image Classification Using Spectral–Spatial Double ...
The model jointly learned 2D multi-scale spatial features and 1D spectral features from HSI in an end-to-end manner. This approach led to advanced ...
A three layer spatial-spectral hyperspectral image classification ...
Using these images, it is possible to make pixel-level classification as each pixel holds hundreds of features. In this paper, we propose an ...
Hyperspectral Image Classification - Papers With Code
It involves the classification of pixels in hyperspectral images into different classes based on their spectral signature.
Spatial–Spectral Feature Refinement for Hyperspectral Image ...
In hyperspectral image (HSI) classification, the convolutional neural network acts as an “information distiller”, gradually extracting high- ...
[PDF] Spatial-spectral classification of hyperspectral images: a deep ...
In comparison with several state-of-the-art approaches for data classification on three publicly available HSI datasets, experimental results have ...
Hyperspectral Image Classification Using Spatial and Spectral ...
The Features employed in this include Morphological profiles, Grey level cooccurence matrix, Discrete W avelet Transform.To classify the image Support vector ...
(PDF) Learning Spatial-Spectral Features for Hyperspectral Image ...
This paper proposes a simple but innovative framework to automatically generate spatial–spectral features for hyperspectral image classification. Two ...
Spectral-Spatial Classification of Hyperspectral Images - OUCI
Spectral-spatial classification of hyperspectral images has been the subject of many studies in recent years. When there are only a few labeled pixels for ...
Overview of Hyperspectral Image Classification - Wiley Online Library
When using DBN to classify the spectral features of hyperspectral images, the main method is to use DBN to extract the deeper features of the ...
Hyperspectral image classification with spectral-spatial feature ...
The proposed work addresses the problem of spatial feature extraction in spectral-spatial HSI classification tasks. ... The classification is executed using three ...
Classification of hyperspectral images by deep learning of spectral ...
Classification of hyperspectral images by deep learning of spectral-spatial features ; Journal: Arabian Journal of Geosciences, 2020, № 12 ; Publisher: Springer ...