Hyperspectral Image (HSI)
Infinite Latent Feature Selection Technique for Hyperspectral Image Classification
... The feature selection technique has been widely implemented in the hyperspectral image in recent years. The Steepest Ascent (S.A) search strategy [5] is used by Serpico to find the most important features ...
6
Performance of Wavelets for Information Preservation in Hyperspectral Image Compression
... terrestrial receiver sites is a research issue that requires the employment of compression technology [2]. There are spectral as well as spatial redundancies in hyperspectral image. So the compression ...
6
Cone-based joint sparse modelling for hyperspectral image classification
... Recently, sparse representation has been extensively investigated in hy- perspectral imaging [3–14]. A hyperspectral image (HSI) is a 3-dimensional data cube with two spatial dimensions and one spectral ...
46
Robust joint sparsity model for hyperspectral image classification
... Sparsity-based classification methods have been widely used in hyperspectral image (HSI) classification. These methods typically assumed Gaussian noise, neglecting the fact that HSIs are often corrupted by ...
5
Hyperspectral image classification with SVM and guided filter
... Hyperspectral image (HSI) classification has been long envisioned in the remote sensing community. Many methods have been proposed for HSI classification. Among them, the method of fusing spatial features ...
9
Survey of hyperspectral image denoising methods based on tensor decompositions
... A hyperspectral image (HSI) is always modeled as a three-dimensional tensor, with the first two dimensions indicating the spatial domain and the third dimension indicating the spectral ...
11
Review Paper on Hyperspectral Image Segmentation
... of hyperspectral specifications. Image segmentation of hyperspectral images is a challenging ...of hyperspectral image interpretation using segmentation has tremendous potential; its ...
6
Hyperspectral Image Classification using Softcomputing Techniques: A Review
... Hyperspectral image classification plays a major role in remote image ...analysis. Hyperspectral images provide both spatial details of airborne imagery and spectral resolution for ...
8
A new kernel method for hyperspectral image feature extraction
... given hyperspectral image X containing n pixels and b bands, the algorithmic flow of K-means clustering is as follows: at the beginning, k pixels are randomly chosen as initial cluster centers from ...
10
An Improved EZW Hyperspectral Image Compression
... We propose some modifications to simplify the conven- tion EZW algorithm and improved the compression re- sults. [10-13] have studied the asymmetrical 3D-DWT decomposition that causes the asymmetrical statistics of the ...
6
Hyperspectral Image Classification using Genetic Algorithm after Visualization using Image Fusion
... presents hyperspectral image classification using genetic algorithm after visualization using image fusion ...technique. Hyperspectral remote sensors collect image data for a large ...
6
Spectral-spatial Feature Extraction for Hyperspectral Image Classification
... sensing, hyperspectral image classification addresses the problem of land- cover class identification and thematic map generation, which has extensive applica- tions in precision agriculture, mine ...
179
A Review of Machine Learning for Hyperspectral Image Applications
... training set is created along with system image under test. Active learning is derived from unsupervised learning but the region of interest is restricted to the object to be searched hence making it faster than ...
6
Hyperspectral Image Segmentation and Classification using FODPSO
... ABSTRACT: Hyperspectral remote sensing images contain hundreds of data ...the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such ...of ...
6
A Review on Techniques of Hyperspectral Image Compression
... A Hyperspectral image is a sequence of image generated by collecting contiguously spaced spectral bands of ...earth. Hyperspectral image compression had received considerable interest ...
5
A New Approach Based On FODPSO for Segmentation and Classification of Hyperspectral Image
... the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such ...of hyperspectral and multispectral ...in image segmentation ...the ...
6
Analysis of Spectral Characteristics of Riverbed Material using Hyperspectral Image
... perform hyperspectral image analysis on riverbed materials in order to analyze the maximum data value and the maximum data value reduction rate according to the water level for visible and near infrared ...
5
Novel Method for Detection of Gastric Cancer by Hyperspectral Image Technique
... with hyperspectral image in collaboration with the well known ...the hyperspectral will be trained previously ...every image pixel, spanning both visible and HI spectral ...
5
Research on Compression Perceptual Hyperspectral Image Reconstruction Based on GISMT
... Abstract. Hyperspectral images contain rich information, including diversity of space, radiation and spectrum ...of hyperspectral image data, which makes the hyperspectral image data ...
6
Advanced Spectral and Spatial Techniques for Hyperspectral Image Analysis and Classification
... A first step (see Chapter 3) towards this direction is performed by means of a detailed comparison among the three most broadly used ICA algorithms for hyperspectral image classification, i.e., Infomax, ...
172