New transform techniques for enhancement and fusion of multispectral and hyperspectral images

被引:0
|
作者
Yigitler, Gulcin [1 ]
Ersoy, Okan [1 ]
Ibrikci, Turgay [1 ]
机构
[1] Cukurova Univ, Dept Elect & Elect Engn, Adana 01330, Turkey
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a new approach to the development of multispectral/hyperspectral image enhancement and fusion algorithms. In approaches used up to now for image enhancement, the bands are typically processed separately, and this results in considerable distortion. The amount of information in many bands are also not very efficiently used. The objective of this work is to utilize the amount of information available more effectively, remove such distortions and to improve the appearance of the images. To realize this goal, we developed two new algorithms using transform techniques. In the resulting algorithms developed, image enhancement and image fusion are considered together.
引用
收藏
页码:252 / 257
页数:6
相关论文
共 50 条
  • [31] FUSION OF HYPERSPECTRAL AND MULTISPECTRAL IMAGE DATA FOR ENHANCEMENT OF SPECTRAL AND SPATIAL RESOLUTION
    Chakravortty, Somdatta
    Subramaniam, Pallavi
    ISPRS TECHNICAL COMMISSION VIII SYMPOSIUM, 2014, 40-8 : 1099 - 1103
  • [32] BAYESIAN FUSION OF MULTISPECTRAL AND HYPERSPECTRAL IMAGES WITH UNKNOWN SENSOR SPECTRAL RESPONSE
    Wei, Qi
    Dobigeon, Nicolas
    Tourneret, Jean-Yves
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 698 - 702
  • [33] Fusion of Hyperspectral and Multispectral Images Using General and Local Spectral Features
    Cesmeci, Davut
    Gullu, M. Kemal
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [34] Progressive fusion of hyperspectral and multispectral images based on joint bilateral filtering
    Luo, Yuyuan
    Yang, Bin
    INFRARED PHYSICS & TECHNOLOGY, 2025, 145
  • [35] Fusion of Hyperspectral and Multispectral Images Using Spectral Unmixing and Sparse Coding
    Nezhad, Zahra Hashemi
    Karami, Azam
    Heylen, Rob
    Scheunders, Paul
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (06) : 2377 - 2389
  • [36] Hyperspectral and multispectral image fusion techniques for high resolution applications: a review
    Sara, Dioline
    Mandava, Ajay Kumar
    Kumar, Arun
    Duela, Shiny
    Jude, Anitha
    EARTH SCIENCE INFORMATICS, 2021, 14 (04) : 1685 - 1705
  • [37] Hyperspectral and multispectral image fusion techniques for high resolution applications: a review
    Dioline Sara
    Ajay Kumar Mandava
    Arun Kumar
    Shiny Duela
    Anitha Jude
    Earth Science Informatics, 2021, 14 : 1685 - 1705
  • [38] Edge-Conditioned Feature Transform Network for Hyperspectral and Multispectral Image Fusion
    Zheng, Yuxuan
    Li, Jiaojiao
    Li, Yunsong
    Guo, Jie
    Wu, Xianyun
    Shi, Yanzi
    Chanussot, Jocelyn
    IEEE Transactions on Geoscience and Remote Sensing, 2022, 60
  • [39] Edge-Conditioned Feature Transform Network for Hyperspectral and Multispectral Image Fusion
    Zheng, Yuxuan
    Li, Jiaojiao
    Li, Yunsong
    Guo, Jie
    Wu, Xianyun
    Shi, Yanzi
    Chanussot, Jocelyn
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [40] Improving OCR Accuracy by Applying Enhancement Techniques on MultiSpectral Images
    Hollaus, Fabian
    Diem, Markus
    Sablatnig, Robert
    2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2014, : 3080 - 3085