Laser & Optoelectronics Progress, Volume. 55, Issue 2, 022802(2018)

High Resolution Remote Sensing Image Classification Combining with Mean-Shift Segmentation and Fully Convolution Neural Network

Xu Fang1,2、*, Guanghui Wang1,2, Huachao Yang1, Huijie Liu1, and Libo Yan1
Author Affiliations
  • 1 Beijing SatImage Information Technology Co., Ltd., Beijing 100048, China
  • 1 School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
  • 2 Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100048, China
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    CLP Journals

    [1] Qi He, Yao Li, Wei Song, Dongmei Huang, Shengqi He, Yanling Du. Multimodal Remote Sensing Image Classification with Small Sample Size Based on High-Level Feature Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111001

    [2] Fang Liu, Lixia Lu, Guangwei Huang, Hongjuan Wang, Xin Wang. Landform Image Classification Based on Discrete Cosine Transformation and Deep Network[J]. Acta Optica Sinica, 2018, 38(6): 0620001

    [3] Qi He, Yao Li, Wei Song, Dongmei Huang, Shengqi He, Yanling Du. Multimodal Remote Sensing Image Classification with Small Sample Size Based on High-Level Feature Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111001

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    Xu Fang, Guanghui Wang, Huachao Yang, Huijie Liu, Libo Yan. High Resolution Remote Sensing Image Classification Combining with Mean-Shift Segmentation and Fully Convolution Neural Network[J]. Laser & Optoelectronics Progress, 2018, 55(2): 022802

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Aug. 2, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Xu Fang (fangxu622@126.com)

    DOI:10.3788/LOP55.022802

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