Spatio-Spectral Remote Sensing Image Classification With Graph Kernels

被引：103

作者：

Camps-Valls, Gustavo ^{[1
]}

Shervashidze, Nino ^{[2
]}

Borgwardt, Karsten M. ^{[2
]}

机构：

[1] Univ Valencia, Image Proc Lab, Valencia 46980, Spain

[2] Max Planck Inst, D-72076 Tubingen, Germany

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2010年 / 7卷 / 04期

关键词：

Graphs; kernel methods; spatio-spectral image classification; support vector machine (SVM);

D O I：

10.1109/LGRS.2010.2046618

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

This letter presents a graph kernel for spatio-spectral remote sensing image classification with support vector machines (SVMs). The method considers higher order relations in the neighborhood (beyond pairwise spatial relations) to iteratively compute a kernel matrix for SVM learning. The proposed kernel is easy to compute and constitutes a powerful alternative to existing approaches. The capabilities of the method are illustrated in several multi- and hyperspectral remote sensing images acquired over both urban and agricultural areas.

引用

页码：741 / 745

页数：5

共 50 条

[31] Distributed Wideband Spatio-Spectral Sensing for Unlicensed Massive IoT Communications
Hattab, Ghaith
Cabric, Danijela
[J]. 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
[32] Filter Bank Common Spatio-Spectral Patterns for Motor Imagery Classification
Yuksel, Ayhan
Olmez, Tamer
[J]. INFORMATION TECHNOLOGY IN BIO- AND MEDICAL INFORMATICS, 2016, 9832 : 69 - 84
[33] Spatio-spectral Image Reconstruction Using Non-local Filtering
Sippel, Frank
Seiler, Juergen
Kaup, Andre
[J]. 2021 INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2021,
[34] Spatio-Spectral Representation Learning for Electroencephalographic Gait-Pattern Classification
Goh, Sim Kuan
Abbass, Hussein A.
Tan, Kay Chen
Al-Mamun, Abdullah
Thakor, Nitish
Bezerianos, Anastasios
Li, Junhua
[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2018, 26 (09) : 1858 - 1867
[35] Spatio-spectral color filter array design for enhanced image fidelity
Hirakawa, Keigo
Wolfe, Patrick J.
[J]. 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7, 2007, : 645 - 648
[36] Balanced spatio-spectral feature extraction for hyperspectral and multispectral image fusion
Rajaei, Arash
Abiri, Ebrahim
Helfroush, Mohammad Sadegh
[J]. COMPUTERS & ELECTRICAL ENGINEERING, 2024, 118
[37] Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution
Akhtar, Naveed
Shafait, Faisal
Mian, Ajmal
[J]. COMPUTER VISION - ECCV 2014, PT VII, 2014, 8695 : 63 - 78
[38] SEPARABLE COMMON SPATIO-SPECTRAL PATTERN ALGORITHM FOR CLASSIFICATION OF EEG SIGNALS
Aghaei, Amirhossein S.
Mahanta, Mohammad Shahin
Plataniotis, Konstantinos N.
[J]. 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 988 - 992
[39] Spatio-spectral color filter array design for optimal image recovery
Hirakawa, Keigo
Wolfe, Patrick J.
[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2008, 17 (10) : 1876 - 1890
[40] Cloud-contaminated image reconstruction with contextual spatio-spectral information
Benabdelkader, Souad
Melgani, Farid
Boulemden, Mohammed
[J]. IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 373 - +

← 1 2 3 4 5 →