IMPROVING ACTIVE LEARNING METHODS USING SPATIAL INFORMATION

被引：9

作者：

Pasolli, Edoardo ^{[1
]}

Melgani, Farid ^{[1
]}

Tuia, Devis ^{[2
]}

Pacifici, Fabio ^{[3
]}

Emery, William J. ^{[4
]}

机构：

[1] Univ Trento, Dept Informat Engn & Comp Sci, Trento, Italy

[2] Univ Valencia, Image Proc Lab, Valencia, Spain

[3] DigitalGlobe Inc, Colorado Springs, CO USA

[4] Univ Colorado, Dept Aerosp Engn, Colorado Springs, CO USA

来源：

2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2011年

关键词：

Active learning; spatial information; support vector machines (SVMs); very-high-resolution (VHR) images; CLASSIFICATION;

D O I：

10.1109/IGARSS.2011.6050089

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：

Active learning process represents an interesting solution to the problem of training sample collection for the classification of remote sensing images. In this work, we propose a criterion based on the spatial information that can be used in combination with a spectral criterion in order to improve the selection of training samples. Experimental results obtained on a very high resolution image show the effectiveness of regularization in spatial domain and open challenging perspectives for terrain campaigns planning.

引用

页码：3923 / 3926

页数：4

共 50 条

[21] Methods for improving image quality using spatial spectral analysis
V. G. Bochkareva
I. A. Matveev
A. B. Murynin
V. I. Tsurkov
[J]. Journal of Computer and Systems Sciences International, 2015, 54 : 897 - 904
[22] Methods for improving image quality using spatial spectral analysis
Bochkareva, V. G.
Matveev, I. A.
Murynin, A. B.
Tsurkov, V. I.
[J]. JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL, 2015, 54 (06) : 897 - 904
[23] Teaching Mixed Methods Using Active Learning Approaches
Zhou, Yuchun
[J]. JOURNAL OF MIXED METHODS RESEARCH, 2023, 17 (04) : 396 - 418
[24] Using Active Learning Methods Within the Andragogical Paradigm
Barabanova, Svetlana, V
Nikonova, Nataliya, V
Pavlova, Irina, V
Shagieva, Rozalina, V
Suntsova, Maria S.
[J]. IMPACT OF THE 4TH INDUSTRIAL REVOLUTION ON ENGINEERING EDUCATION, ICL2019, VOL 1, 2020, 1134 : 566 - 577
[25] Fire and Smoke Segmentation Using Active Learning Methods
Marto, Tiago
Bernardino, Alexandre
Cruz, Goncalo
[J]. REMOTE SENSING, 2023, 15 (17)
[26] Improving the Traffic Data Imputation Accuracy Using Temporal and Spatial Information
Zhao, Ningyu
Li, Zhiheng
Li, Yuebiao
[J]. 2014 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA), 2014, : 312 - 317
[27] IMPROVING GENERALIZATION WITH ACTIVE LEARNING
COHN, D
ATLAS, L
LADNER, R
[J]. MACHINE LEARNING, 1994, 15 (02) : 201 - 221
[28] Improving the performance of solar flare prediction using active longitudes information
Huang, X.
Zhang, L.
Wang, H.
Li, L.
[J]. ASTRONOMY & ASTROPHYSICS, 2013, 549
[29] Active Learning Methods
Velichova, Daniela
[J]. XXVII INTERNATIONAL COLLOQUIUM ON THE MANAGEMENT OF EDUCATIONAL PROCESS, 2009, : 155 - 159
[30] Improving Transfer of Learning: Relationship to Methods of Using Business Simulation
Mayer, Brad W.
Dale, Kathleen M.
Fraccastoro, Katherine A.
Moss, Gisele
[J]. SIMULATION & GAMING, 2011, 42 (01) : 64 - 84

← 1 2 3 4 5 →