International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 112

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 11, November 2014


IFGF Based Feature Extraction of Hyperspectral Images

Smitha K S, Saranya Sasidharan, Minu Thomas


Abstract: Hyperspectral sensors collect information as a set of images represented by different bands. Hyperspectral images are three-dimensional images with sometimes over 100 bands where as regular images have only three bands: red, green and blue. Each pixel has a hyperspectral signature that represents different materials. Hyperspectral images can be used for geology, forestry and agriculture mapping, land cover analysis and atmospheric analysis. Even though hyperspectral images can sometimes contain over 100 bands, relatively few bands can explain the vast majority of the information. Hyperspectral images contain rich and fine spectral information, an improvement of land use/cover classification accuracy is expected from the use of such images. However, the classification methods that have been successfully applied to multispectral data in the past are not as effective as to hyperspectral data. The major cause is that the size of training data set does not correspond to the increase of dimensionality of hyperspectral data. Actually, the problem of the curse of dimensionality emerges when a statistic based classification method is applied to the hyperspectral data. For such reason, hyperspectral images are mapped into a lower dimension while preserving the main features of the original data by a process called dimensional reduction. This can be done by feature extraction that a small number of salient features are extracted from the hyperspectral data when confronted with a limited set of training samples.


Keywords: Hyperspectral images, Multispectral images, feature extraction


Edition: Volume 3 Issue 11, November 2014,


Pages: 1930 - 1935


How to Cite this Article?

Smitha K S, Saranya Sasidharan, Minu Thomas, "IFGF Based Feature Extraction of Hyperspectral Images ", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=OCT141214, Volume 3 Issue 11, November 2014, 1930 - 1935

How to Share this Article?

Enter Your Email Address


Similar Articles with Keyword 'Hyperspectral images'

Downloads: 117

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 256 - 260

Supervised, Unsupervised, and Semisupervised Classification Methods for Hyperspectral Image Classification-A Review

Savita P. Sabale, Asst. Prof. Chhaya R. Jadhav

Share this Article

Downloads: 132

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 4, April 2016

Pages: 888 - 895

LDA Feature Selection for Satellite Image Fusion in HAAR Wavelet

Anfal Hazim Abdullah, Dr. E. Sreenivasa Reddy

Share this Article

Similar Articles with Keyword 'feature extraction'

Downloads: 4 | Monthly Hits: ⮙2

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 6, June 2021

Pages: 863 - 865

Detection of Malicious URLs using Classification Algorithm

Muskan V. Jaiswal, Dr. Anjali B. Raut

Share this Article

Downloads: 6

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 6, June 2021

Pages: 866 - 868

Detecting and Blocking of Malicious URL

Muskan V. Jaiswal, Anjali B. Raut

Share this Article

Similar Articles with Keyword 'Hyperspectral'

Downloads: 117

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 256 - 260

Supervised, Unsupervised, and Semisupervised Classification Methods for Hyperspectral Image Classification-A Review

Savita P. Sabale, Asst. Prof. Chhaya R. Jadhav

Share this Article

Downloads: 117

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 2, February 2015

Pages: 1134 - 1138

An Approach towards Improved Hyperspectral Image Denoising

Nilima A. Bandane, Deeksha Bhardwaj

Share this Article

Similar Articles with Keyword 'images'

Downloads: 108

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 7, July 2016

Pages: 1375 - 1390

A Survey of Thinning Techniques on Two Dimensional Binary Images

Moumita Sarkar, Santanu Chatterjee

Share this Article

Downloads: 86

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 10, October 2020

Pages: 1626 - 1628

Image Noise Reduction with Autoencoder using Tensor Flow

Jai Sehgal, Dr Yojna Arora

Share this Article

Similar Articles with Keyword 'Multispectral'

Downloads: 105

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015

Pages: 1537 - 1542

Remote Sensing Satellite Image Fusion Using Fast Curvelet Transforms

Namratha H. N., Raghu M. T.

Share this Article

Downloads: 122

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 8, August 2016

Pages: 1879 - 1886

DWT-PCA Based Image Fusion Using GPU

Vengayil Nayana Murali, Rahul C

Share this Article

Similar Articles with Keyword 'feature'

Downloads: 145 | Weekly Hits: ⮙1 | Monthly Hits: ⮙9

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020

Pages: 457 - 461

Artificial Intelligence for Hiring

Ishan Borker, Ashok Veda

Share this Article

Downloads: 522 | Monthly Hits: ⮙2

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1454 - 1458

Heart Disease Prediction with Machine Learning Approaches

Megha Kamboj

Share this Article

Similar Articles with Keyword 'extraction'

Downloads: 1

Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 2205 - 2207

A Survey of Generating Multi-Document Summarizations

Patil Ajita S., P. M. Mane

Share this Article

Downloads: 4 | Monthly Hits: ⮙2

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 6, June 2021

Pages: 863 - 865

Detection of Malicious URLs using Classification Algorithm

Muskan V. Jaiswal, Dr. Anjali B. Raut

Share this Article
Top