A CONTEXT-BASED APPROACH FOR THE CLASSIFICATION OF SATELLITE IMAGE TIME SERIES

被引：7
|
作者：
Kurtz, Camille [1 ,2 ]
Petitjean, Francois [1 ,2 ]
Gancarski, Pierre [1 ,2 ]
机构：
[1] LSIIT, UMR 7005, Pole API Bd Sebastien Brant, F-67412 Illkirch Graffenstaden, France
[2] Univ Strasbourg 7, F-67084 Strasbourg, France
来源：
2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2011年
关键词：
Multi-temporal analysis; Satellite Image Time Series; Data Mining; Segmentation; Mean-Shift; MEAN-SHIFT; LAND-COVER;
D O I：
10.1109/IGARSS.2011.6049173
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：
Satellite Image Time Series (SITS) analysis is an important domain with various applications in land study. In the coming years, both high temporal and high spatial resolution SITS will be available. This article aims at providing both temporal and spatial analysis of SITS. We propose first segmenting each image of the series, and then using these segmentations in order to characterize each pixel of the data with a spatial dimension (i.e. with contextual information). Providing spatially characterized pixels, pixel-based temporal analysis can be performed. Experiments carried out with this methodology show the relevance of this approach and the significance of the resulting extracted patterns in the context of the analysis of SITS.
引用
收藏
页码：495 / 498
页数：4
相关论文
共 50 条
  • [1] Transfer learning approach based on satellite image time series for the crop classification problem
    Antonijevic, Ognjen
    Jelic, Slobodan
    Bajat, Branislav
    Kilibarda, Milan
    [J]. JOURNAL OF BIG DATA, 2023, 10 (01)
  • [2] Transfer learning approach based on satellite image time series for the crop classification problem
    Ognjen Antonijević
    Slobodan Jelić
    Branislav Bajat
    Milan Kilibarda
    [J]. Journal of Big Data, 10
  • [3] A context-based approach for color image retrieval
    Shih, JL
    Chen, LH
    [J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2002, 16 (02) : 239 - 255
  • [4] GPS Localization Accuracy Classification: A Context-Based Approach
    Drawil, Nabil M.
    Amar, Haitham M.
    Basir, Otman A.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 14 (01) : 262 - 273
  • [5] Context-Based Max-Margin for PoISAR Image Classification
    Zhang, Shuyin
    Hou, Biao
    Jiao, Licheng
    Wu, Qian
    Sun, Chen
    Xie, Wen
    [J]. IEEE ACCESS, 2017, 5 : 24070 - 24077
  • [6] Context-based image modelling
    Dvir, G
    Greenspan, H
    Rubner, Y
    [J]. 16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITON, VOL IV, PROCEEDINGS, 2002, : 162 - 165
  • [7] A context-based region labeling approach for semantic image segmentation
    Athanasiadis, Thanos
    Mylonas, Phivos
    Avrithis, Yannis
    [J]. SEMANTIC MULTIMEDIA, PROCEEDINGS, 2006, 4306 : 212 - +
  • [8] Image subband coding using context-based classification and adaptive quantization
    Yoo, Y
    Ortega, A
    Yu, B
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1999, 8 (12) : 1702 - 1715
  • [9] KNOWLEDGE-BASED APPROACH FOR VHR SATELLITE IMAGE TIME SERIES ANALYSIS
    Rejichi, S.
    Chaabane, F.
    [J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 2177 - 2180
  • [10] PIXEL AND REGION BASED TEMPORAL CLASSIFICATION FUSION FOR HR SATELLITE IMAGE TIME SERIES
    Rejichi, S.
    Chaabane, F.
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 435 - 438
12345