Interband prediction of hyperspectral images using generalized regression neural network

Kalyan Kumar Halder, Manoranjan Paul

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

Predicting upcoming bands of hyperspectral images is an important task in modern image compression algorithms. This paper proposes a new algorithm to predict the band-wise correlation of hyperspectral images based on a generalized regression neural network (GRNN). The proposed algorithm uses the intensity values of the previous bands to train the GRNN and approximates the correlation between them. The next band is then predicted using the trained network and the immediately previous band. This algorithm works on a pixel-by-pixel basis and does not involve any mathematical modeling or any previous knowledge of the images. The performance of the proposed algorithm is evaluated by applying it to several Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) reflectance datasets. Simulation results show that the proposed algorithm provides substantial accuracy in the prediction of upcoming bands.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Multimedia and Expo Workshops (ICMEW) 2017
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages175-179
Number of pages5
ISBN (Electronic)9781538605608
DOIs
Publication statusPublished - 07 Sep 2017
Event2017 IEEE International Conference on Multimedia and Expo: ICME 2017 - Harbour Grand Kowloon, Hong Kong, Hong Kong
Duration: 10 Jul 201714 Jul 2017
http://www.icme2017.org/ (Conference website)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8014303 (Conference proceedings (ICME 2017))
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8014334 (Conference proceedings (ICMEW 2017))

Conference

Conference2017 IEEE International Conference on Multimedia and Expo
Abbreviated titleThe New Media Experience
Country/TerritoryHong Kong
CityHong Kong
Period10/07/1714/07/17
OtherThe IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities. ICME also features an Exposition of multimedia products and prototypes. ICME 2017 is the 18th ICME conference. The main theme of 2017 is "The New Media Experience", enabling next generation 3D/AR/VR experiences and applications, based on which various sessions and events, in particular a Grand Challenge, will be organized. About 400 participants mainly from Asia, Europe and North America will gather in Hong Kong to discuss and progress latest development in multimedia technologies and related fields. This year, the best contributions to the conference will be honoured with the 10k Best Paper Award which promotes research advances in the general Multimedia related areas: Text, Graphics, Vision, Image, Video, Audio, Speech, Sensing data, and their mining, learning, processing, compression, communications, rendering, and associated innovations and applications.
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