UNSUPERVISED LAND-COVER CLASSIFICATION THROUGH HYPER-HEURISTIC-BASED HARMONY SEARCH

被引：0
|
作者：
Papa, J. [1 ]
Papa, L. [2 ]
Pisani, R. [3 ]
Pereira, D. [3 ]
机构：
[1] Sao Paulo State Univ, Dept Comp, Bauru, SP, Brazil
[2] Sao Paulo State Southwest Coll, Dept Hlth, Avare, SP, Brazil
[3] Univ Western Sao Paulo, Dept Comp, Presidente Prudente, SP, Brazil
来源：
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年
关键词：
Clustering; Land-cover classification; Machine Learning; Genetic Programming;
D O I：
暂无
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：
Unsupervised land-cover classification aims at learning intrinsic properties of spectral and spatial features for the task of area coverage in urban and rural areas. In this paper, we propose to model the problem of optimizing the well-known k means algorithm by combining different variations of the Harmony Search technique using Genetic Programming (GP). We have shown GP can improve the recognition rates when using one optimization technique only, but it still deserves a deeper study when we have a very good individual technique to be combined.
引用
下载
收藏
页码：69 / 72
页数：4
相关论文
共 50 条
  • [11] Large-area land-cover mapping through scene-based classification compositing
    Guindon, B
    Edmonds, CM
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2002, 68 (06): : 589 - 596
  • [12] LAND-COVER CLASSIFICATION THROUGH SEQUENTIAL LEARNING-BASED OPTIMUM-PATH FOREST
    Pereira, D.
    Pisani, R.
    Nakamura, R.
    Papa, J.
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 76 - 79
  • [13] Self-Learning Based Land-Cover Classification Using Sequential Class Patterns from Past Land-Cover Maps
    Kim, Yeseul
    Park, No-Wook
    Lee, Kyung-Do
    REMOTE SENSING, 2017, 9 (09):
  • [14] A NOVEL AUTOMATIC APPROACH TO THE UPDATE OF LAND-COVER MAPS BY UNSUPERVISED CLASSIFICATION OF REMOTE SENSING IMAGES
    Paris, Claudia
    Bruzzone, Lorenzo
    Fernandez-Prieto, Diego
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 2207 - 2210
  • [15] A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images
    Paris, Claudia
    Bruzzone, Lorenzo
    Fernandez-Prieto, Diego
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (07): : 4259 - 4277
  • [16] Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
    Pan, Suoyan
    Guan, Haiyan
    Chen, Yating
    Yu, Yongtao
    Goncalves, Wesley Nunes
    Marcato Junior, Jose
    Li, Jonathan
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 166 : 241 - 254
  • [17] HYBRID SPECTRAL UNMIXING IN LAND-COVER CLASSIFICATION
    Baghbaderani, Razieh Kaviani
    Wang, Fanqi
    Stutts, Craig
    Qu, Ying
    Qi, Hairong
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 3009 - 3012
  • [18] LAND-COVER CLASSIFICATION IN KALIMANTAN BY POLARIMETRIC PALSAR
    Bagan, Hasi
    Takeuchi, Wataru
    Yamagata, Yoshiki
    NETWORKING THE WORLD WITH REMOTE SENSING, 2010, 38 : 736 - 739
  • [19] AN EXPERT-SYSTEM FOR LAND-COVER CLASSIFICATION
    KARTIKEYAN, B
    MAJUMDER, KL
    DASGUPTA, AR
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1995, 33 (01): : 58 - 66
  • [20] Accuracy and inaccuracy assessments in land-cover classification
    Nishii, R
    Tanaka, S
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (01): : 491 - 498
12345