COMPARATIVE EVALUATION OF VECTOR MACHINE BASED HYPERSPECTRAL CLASSIFICATION METHODS

被引：6

作者：

Karaca, Ali Can ^{[1
]}

Erturk, Alp ^{[1
]}

Gullu, M. Kemal ^{[1
]}

Erturk, Sarp ^{[1
]}

机构：

[1] Kocaeli Univ, Lab Image & Signal Proc KULIS, Elect & Telecomm Eng Dept, Kocaeli, Turkey

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

Import Vector Machines; Support Vector Machines; Relevance Vector Machines; Hyperspectral Classification;

D O I：

10.1109/IGARSS.2012.6352496

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a comparison of the classification performance of some vector machine based classification methods, namely, Import Vector Machines (IVM), Support Vector Machines (SVM) and Relevance Vector Machines (RVM), for hyperspectral images. Evaluation is carried out in terms of the number of vectors and classification accuracies. Furthermore, novel to this paper, Discriminative Random Field method with Graph Cut algorithm is applied to the probabilistic classification output of IVM based hyperspectral classification results, and it is shown that this approach significantly increases classification accuracies.

引用

页码：4970 / 4973

页数：4

共 50 条

[21] CLASSIFICATION OF SUGAR BEETS BASED ON HYPERSPECTRAL AND EXTREME LEARNING MACHINE METHODS
Yang, R.
Tian, H.
Kan, J.
APPLIED ENGINEERING IN AGRICULTURE, 2018, 34 (06) : 891 - 897
[22] BRANCH AND BOUND BASED FEATURE ELIMINATION FOR SUPPORT VECTOR MACHINE BASED CLASSIFICATION OF HYPERSPECTRAL IMAGES
Samiappan, Sathishkumar
Prasad, Saurabh
Bruce, Lori M.
Hansen, Eric A.
2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 2523 - 2526
[23] Hyperspectral Image Classification Using Stochastic Gradient Descent Based Support Vector Machine
Sampurnima, Pattem
Satapathy, Sandeep Kumar
Mishra, Shruti
Mallick, Pradeep Kumar
BIOLOGICALLY INSPIRED TECHNIQUES IN MANY-CRITERIA DECISION MAKING, 2020, 10 : 78 - 84
[24] Comparison of Support Vector Machine-Based Processing Chains for Hyperspectral Image Classification
Rojas, Marta
Dopido, Inmaculada
Plaza, Antonio
Gamba, Paolo
SATELLITE DATA COMPRESSION, COMMUNICATIONS, AND PROCESSING VI, 2010, 7810
[25] Spectral Spatial Feature Based Classification of Hyperspectral Image using Support Vector Machine
Pathak, Diganta Kumar
Kalita, Sanjib Kr
2019 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2019, : 430 - 435
[26] Accelerating Relevance-Vector-Machine-Based Classification of Hyperspectral Image with Parallel Computing
Dong, Chao
Tian, Lianfang
MATHEMATICAL PROBLEMS IN ENGINEERING, 2012, 2012
[27] Comparison of Processing Chains Based on Support Vector Machine Classifier for Hyperspectral Image Classification
Wu, Jee-Cheng
Lin, Bo-kai
Tsuei, Gwo-chyang
MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 646 - 649
[28] Weighted Kernel Function Implementation for Hyperspectral Image Classification Based On Support Vector Machine
Soelaiman, Rully
Asfiandy, Dommy
Purwananto, Yudhi
Purnomo, Mauridhi H.
ICICI-BME: 2009 INTERNATIONAL CONFERENCE ON INSTRUMENTATION, COMMUNICATION, INFORMATION TECHNOLOGY, AND BIOMEDICAL ENGINEERING, 2009, : 63 - +
[29] Wavelet Texture Extraction and Image Classification of Hyperspectral Data Based on Support Vector Machine
Hwang, Jin-Tsong
2009 17TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS, VOLS 1 AND 2, 2009, : 127 - 132
[30] SENSITIVITY ANALYSIS OF SUPPORT VECTOR MACHINE IN CLASSIFICATION OF HYPERSPECTRAL IMAGERY
Samadzadegan, F.
Hasani, H.
Partovi, T.
2010 CANADIAN GEOMATICS CONFERENCE AND SYMPOSIUM OF COMMISSION I, ISPRS CONVERGENCE IN GEOMATICS - SHAPING CANADA'S COMPETITIVE LANDSCAPE, 2010, 38

← 1 2 3 4 5 →