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

Xu Fang; Guanghui Wang; Huachao Yang; Huijie Liu; Libo Yan

doi:10.3788/LOP55.022802

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 Fang^1,2、*, Guanghui Wang^1,2, 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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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

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology