MULTI-TEMPORAL SUPERPIXEL GENERATION FOR HIGH RESOLUTION SAR IMAGE ANALYSIS

被引：1
|
作者：
Hu, Hao [1 ]
Liu, Bin [1 ]
Zhang, Zenghui [1 ]
Liu, Xingzhao [1 ]
Yu, Wenxian [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
来源：
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词：
Multi-temporal (MT); high resolution (HR); synthetic aperture radar (SAR); superpixel; SEGMENTATION; CLASSIFICATION; EXTRACTION;
D O I：
10.1109/IGARSS.2014.6946774
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：
In this paper, a multi-temporal (MT) superpixel generation method is proposed. MT superpixels are generated based on a novel edge extraction method designed for high resolution (HR) synthetic aperture radar (SAR) images and using MT spatial information in an optimization way. Numerical evaluation and comparison on simulated and real data sets demonstrate its availability for MT HR SAR image analysis.
引用
收藏
页码：1686 / 1689
页数：4
相关论文
共 50 条
  • [1] Multi-temporal DInSAR analysis with X-band high resolution SAR data: examples and potential
    Bovenga, Fabio
    Nitti, Davide Oscar
    Refice, Alberto
    Nutricato, Raffaele
    Chiaradia, Maria Teresa
    [J]. SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES X, 2010, 7829
  • [2] FULLY CONVOLUTIONAL NETWORKS FOR MULTI-TEMPORAL SAR IMAGE CLASSIFICATION
    Mullissa, Adugna G.
    Persello, Claudio
    Tolpekin, Valentyn
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 6635 - 6638
  • [3] A mean based algorithm for the multi-temporal SAR image filtering
    Coltuc, D
    Becker, JM
    Radescu, R
    [J]. IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 1798 - 1800
  • [4] Multi-temporal analysis of high spatial resolution imagery for disturbance monitoring
    Wulder, Michael A.
    White, Joanne C.
    Coops, Nicholas C.
    Butson, Christopher R.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2008, 112 (06) : 2729 - 2740
  • [5] Oil Platform Investigation by Multi-temporal SAR Remote Sensing Image
    Chen, Peng
    Wang, Juan
    Li, Donglin
    [J]. SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XI, 2011, 8179
  • [6] MULTI-TEMPORAL AND MULTI-ANGULAR ANALYSIS OF VERY HIGH SPATIAL RESOLUTION IMAGES
    Pacifici, Fabio
    Longbotham, Nathan
    Emery, William J.
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 1996 - 1999
  • [7] Multi-temporal RADARSAT-2 polarimetric SAR for maize mapping supported by segmentations from high-resolution optical image
    Shuai, Guanyuan
    Zhang, Jinshui
    Basso, Bruno
    Pan, Yaozhong
    Zhu, Xiufang
    Zhu, Shuang
    Liu, Hongli
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 74 : 1 - 15
  • [8] FLOOD HAZARD MAPPING COMBINING HIGH RESOLUTION MULTI-TEMPORAL SAR DATA AND COARSE RESOLUTION GLOBAL HYDRODYNAMIC MODELLING
    Chini, Marco
    Giustarini, Laura
    Matgen, Patrick
    Hostache, Renaud
    Pappenberger, Florian
    Bally, Philippe
    [J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 2394 - 2396
  • [9] Performance Analysis of Satellite Missions for Multi-Temporal SAR Interferometry
    Bovenga, Fabio
    Belmonte, Antonella
    Refice, Alberto
    Pasquariello, Guido
    Nutricato, Raffaele
    Nitti, Davide O.
    Chiaradia, Maria T.
    [J]. SENSORS, 2018, 18 (05)
  • [10] Sensitivity of multi-temporal high resolution polarimetric C and L-band SAR to grapes in vineyards
    Schiavon, G.
    Solimini, D.
    Burini, A.
    [J]. IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 3651 - +
12345