Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms

被引：0
|
作者：
Anand R. [1 ]
Veni S. [2 ]
Geetha P. [3 ]
Rama Subramoniam S. [4 ]
机构：
[1] Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham
[2] Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore
[3] Depertment of CEN, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore
[4] RRSC (South), NRSC/ISRO, ISITE Campus, Bengaluru, 560 037, Karnataka
来源：
International Journal of Intelligent Networks | 2021年 / 2卷
关键词：
Classification; Empirical morphological profiles; Hyperspectral image; Machine learning; Spectrum; Support vector machine; Wavelength;
D O I：
10.1016/j.ijin.2020.12.006
中图分类号：
学科分类号：
摘要：
When morphological capabilities are used for the class of high decision hyperspectral photographs from metropolitan areas, one must not forget two crucial problems. Among which the primary one is that traditional morphological openings and closings degrade the object obstacles and distorts the items shape. Morphological profiles (MP) opening and closing via reconstruction can keep us away from this problem, however this system ends in a few unwanted consequences. In this paper, first check out morphological summaries with subjective restoration and steering MPs for the classification of excessive decision hyperspectral snap shots from city areas. Secondly, broaden a supervised face extraction to lessen the dimensionality of the engendered morphological profiles for the prediction. © 2021 The Author(s)
引用
收藏
页码：1 / 6
页数：5
相关论文
共 50 条
  • [1] EXTENDED MORPHOLOGICAL PROFILES WITH DUALITY FOR HYPERSPECTRAL IMAGE CLASSIFICATION
    Imran, Farid Muhammad
    He, Mingyi
    2015 7TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2015,
  • [2] Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis
    Dalla Mura, Mauro
    Villa, Alberto
    Benediktsson, Jon Atli
    Chanussot, Jocelyn
    Bruzzone, Lorenzo
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2011, 8 (03) : 542 - 546
  • [3] Random Subspace Ensembles for Hyperspectral Image Classification With Extended Morphological Attribute Profiles
    Xia, Junshi
    Dalla Mura, Mauro
    Chanussot, Jocelyn
    Du, Peijun
    He, Xiyan
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (09): : 4768 - 4786
  • [4] Hyperspectral Image Classification Using Band Selection and Morphological Profiles
    Tan, Kun
    Li, Erzhu
    Du, Qian
    Du, Peijun
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (01) : 40 - 48
  • [5] HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON EXTENDED MORPHOLOGICAL ATTRIBUTE PROFILES AND ABUNDANCE INFORMATION
    Zhang, Xia
    Sun, Yanli
    Qi, Wenchao
    2018 9TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2018,
  • [6] LAPLACIAN SUPPORT VECTOR MACHINE FOR HYPERSPECTRAL IMAGE CLASSIFICATION BY USING MANIFOLD LEARNING ALGORITHMS
    Wang, Xiaopan
    Ma, Li
    Liu, Fujiang
    2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 1027 - 1030
  • [7] Meta-XGBoost for Hyperspectral Image Classification Using Extended MSER-Guided Morphological Profiles
    Samat, Alim
    Li, Erzhu
    Wang, Wei
    Liu, Sicong
    Lin, Cong
    Abuduwaili, Jilili
    REMOTE SENSING, 2020, 12 (12)
  • [8] Nonlinear Multiple Kernel Learning With Multiple-Structure-Element Extended Morphological Profiles for Hyperspectral Image Classification
    Gu, Yanfeng
    Liu, Tianzhu
    Jia, Xiuping
    Benediktsson, Jon Atli
    Chanussot, Jocelyn
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (06): : 3235 - 3247
  • [9] Hyperspectral Image Classification using Machine Learning Approaches
    Dasi, Syamala
    Peeka, Deekshitha
    Mohammed, Reshma Begum
    Kumar, B. L. N. Phaneendra
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS 2020), 2020, : 444 - 448
  • [10] SEMI-SUPERVISED CLASSIFICATION OF HYPERSPECTRAL IMAGE BASED ON SPECTRAL AND EXTENDED MORPHOLOGICAL PROFILES
    Wang, Junshu
    Zhang, Guoming
    Cao, Min
    Jiang, Nan
    2016 8TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2016,
12345