Literature DB >> 29240091

Hyperspectral image compression approaches: opportunities, challenges, and future directions: discussion.

Rui Dusselaar, Manoranjan Paul.   

Abstract

This paper establishes a review of the recent study in the field of hyperspectral (HS) image compression approaches. Recently, image compression techniques have achieved significant advances from diverse types of coding standards/approaches. HS image compression requires an unconventional coding technique because of its unique, multiple-dimensional structure. The data redundancy exists in both inter-band and intra-band methods. The survey summarizes current literature in inter- and intra-band compression methods. The challenges, opportunities, and future research possibilities regarding HS image compression are further discussed. The experimental results are also provided for validity and applicability of the existing HS image compression techniques.

Year:  2017        PMID: 29240091     DOI: 10.1364/JOSAA.34.002170

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  3 in total

Review 1.  A Systematic Review of Hardware-Accelerated Compression of Remotely Sensed Hyperspectral Images.

Authors:  Amal Altamimi; Belgacem Ben Youssef
Journal:  Sensors (Basel)       Date:  2021-12-30       Impact factor: 3.576

2.  HyTexiLa: High Resolution Visible and Near Infrared Hyperspectral Texture Images.

Authors:  Haris Ahmad Khan; Sofiane Mihoubi; Benjamin Mathon; Jean-Baptiste Thomas And Jon Yngve Hardeberg; Jon Yngve
Journal:  Sensors (Basel)       Date:  2018-06-26       Impact factor: 3.576

3.  Implementation and Evaluation of Vision-Based Sensor Image Compression for Close-Range Photogrammetry and Structural Health Monitoring.

Authors:  Luna Ngeljaratan; Mohamed A Moustafa
Journal:  Sensors (Basel)       Date:  2020-11-30       Impact factor: 3.576

  3 in total

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