Call for papers :

Submission Last Date 28/02/2018
Status Notification Within 2 Days
Submit Paper Online

Check Paper Status

Paper Status

News & Updates

IJAERD provides Hard Copy of Published Certificates of Publication to each author.

We have started accepting articles by online means directly through website. Article submission link is given on left side

IJAERD Provide Review card, Acceptance Letter and Fee Receipt without taking any extra charges

IJAERD invites research paper from various engineering disciplines for Vol.1 Issue 12 (Dec. - 2014) issue,

Conference Proceedings

National Conference on Emerging Trends in Computer & Electrical Engineering (ETCEE - 2014) March 7-8, 2014, Organized by Atmiya Institute of Technology and Science, Rajkot

National Conference on Recent Research in Engineering and Technology (NCRRET-2015) organizing by Dr. Jivraj Mehta Institute of Technology, Mogar-Anand

National Conference on Emerging Trends in Computer, Electrical & Electronics (ETCEE - 2015), March 13-14, 2015, Organized by Atmiya Institute of Technology and Science, Rajkot

Paper Details

Paper Title
Maximum A-Posteriori (MAP) Estimation based Hyperspectral Image Super-Resolution Reconstruction
Limited by the existed imagery hardware, it is challenging to obtain a hyperspectral image (HSI) with a high spatial resolution. Super-resolution (SR) focuses on the ways to enhance the spatial resolution. HSI SR is a highly attractive topic in computer vision and has attracted the attention from many researchers. Super-resolution reconstruction (SRR) is a promising signal post-processing technique for hyperspectral image resolution enhancement. This paper proposes a maximum a posteriori (MAP) based multi-frame super-resolution algorithm for hyperspectral images. Principal component analysis (PCA) is utilized in both parts of the proposed algorithm: motion estimation and image reconstruction. A simultaneous motion estimation method with the first few principal components, which contain most of the information of a hyperspectral image, is proposed to reduce computational load and improve motion field accuracy. In the image reconstruction part, different image resolution enhancement techniques are applied to different groups of components, to reduce computational load and simultaneously remove noise.. The experimental results and comparative analyses verify the effectiveness of this algorithm.
Hyperspectral image, Super-resolution, Motion estimation, PCA.
Others Details
Paper Id : 61301
Author Name : R. SUDHEER BABU
Co-Author Name(s) : Dr. K.E.Sreenivasa Murthy
Volume/Issue No : Volume 04 Issue 11
Page No : 178-187
DOI Number : DOI:10.21090/IJAERD.61301
Publication Date : 2017-11-12
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website :
Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406