SUPPORT VECTOR MACHINE AND BATHACHARRYA KERNEL FUNCTION FOR REGION BASED CLASSIFICATION

被引：1

作者：

Negri, Rogerio Galante ^{[1
]}

Dutra, Luciano Vieira ^{[1
]}

Siqueira Sant'Anna, Sidnei Joao ^{[1
]}

机构：

[1] INPE, Sao Jose Dos Campos, SP, Brazil

来源：

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

关键词：

Region based classification; Support Vector Machine; stochastic distances; Bhattacharyya kernel function; OBJECT-BASED CLASSIFICATION;

D O I：

10.1109/IGARSS.2012.6352380

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：

Region based methods are indicated to classify image with strong heterogeneity, where only the spectral information is not enough. Different approaches have been proposed to perform this kind of classification. This study presents a new approach for region based classification that consists in use the Support Vector Machine (SVM) method with Bhattacharyya kernel function. A high resolution IKONOS image was classified. The classification results shows that SVM method using the Bhattacharyya kernel is better than Minimum Distance Classifier and conventional SVM.

引用

页码：5422 / 5425

页数：4

共 50 条

[1] Linear support vector machine based on kernel function
Gao, Shang
Hu, Xuekun
Zhang, Zaiyue
Cao, Cungen
[J]. Journal of Computational Information Systems, 2009, 5 (04): : 1089 - 1095
[2] Weighted Kernel Function Implementation for Hyperspectral Image Classification Based On Support Vector Machine
Soelaiman, Rully
Asfiandy, Dommy
Purwananto, Yudhi
Purnomo, Mauridhi H.
[J]. ICICI-BME: 2009 INTERNATIONAL CONFERENCE ON INSTRUMENTATION, COMMUNICATION, INFORMATION TECHNOLOGY, AND BIOMEDICAL ENGINEERING, 2009, : 63 - +
[3] Research on kernel function of support vector machine
Liu, Lijuan
Shen, Bo
Wang, Xing
[J]. Journal of Computers (Taiwan), 2014, 25 (01) : 12 - 19
[4] Hyperspectral image classification based on tensor-based radial basis kernel function and support vector machine
Li Y.
Gong X.
Zhao Q.
[J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2020, 41 (12): : 253 - 262
[5] Multiclass Classification on Brain Cancer with Multiple Support Vector Machine and Feature Selection Based on Kernel Function
Rustam, Z.
Kharis, S. A. A.
[J]. PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2017 (ISCPMS2017), 2018, 2023
[6] Support vector machine based on person VII kernel function and its application in chemical pattern classification
Zheng Qi-Fu
Chen De-Zhao
Liu Hua-Zhang
[J]. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2007, 35 (08) : 1142 - 1146
[7] The UAV Image Classification Method Based on the Grey-Sigmoid Kernel Function Support Vector Machine
Pei Pengcheng
Shi Yue
Wang Chengbo
Ma Xinming
Guo Wei
Qiao Hongbo
[J]. 2018 10TH IAPR WORKSHOP ON PATTERN RECOGNITION IN REMOTE SENSING (PRRS), 2018,
[8] Kernel parameter selection for support vector machine classification
Liu, Zhiliang
Xu, Hongbing
[J]. Journal of Algorithms and Computational Technology, 2014, 8 (02): : 163 - 177
[9] Kernel Parameter Selection for Support Vector Machine Classification
Liu, Zhiliang
Xu, Hongbing
[J]. JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY, 2014, 8 (02) : 163 - 177
[10] The support vector machine based on intuitionistic fuzzy number and kernel function
Minghu Ha
Chao Wang
Jiqiang Chen
[J]. Soft Computing, 2013, 17 : 635 - 641

← 1 2 3 4 5 →