Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

Author： Fu Gang Liu Changjun Zhou Rong Sun Tao Zhang Qijian

Publisher： MDPI

E-ISSN： 2072-4292|9|5|498-498

ISSN： 2072-4292

Source： Remote Sensing, Vol.9, Iss.5, 2017-05, pp. : 498-498

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

An Object-Based Semantic Classification Method for High Resolution Remote Sensing Imagery Using Ontology

By Gu Haiyan Li Haitao Yan Li Liu Zhengjun Blaschke Thomas Soergel Uwe

Remote Sensing, Vol. 9, Iss. 4, 2017-03 ,pp. : 329-329

MDPI

Access to resources Recommend Favorite

Maritime Semantic Labeling of Optical Remote Sensing Images with Multi-Scale Fully Convolutional Network

By Lin Haoning Shi Zhenwei Zou Zhengxia

Remote Sensing, Vol. 9, Iss. 5, 2017-05 ,pp. : 480-480

MDPI

Access to resources Recommend Favorite

Fast Segmentation and Classification of Very High Resolution Remote Sensing Data Using SLIC Superpixels

By Csillik Ovidiu

Remote Sensing, Vol. 9, Iss. 3, 2017-03 ,pp. : 243-243

MDPI

Access to resources Recommend Favorite

Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval

By Zhou Weixun Newsam Shawn Li Congmin Shao Zhenfeng

Remote Sensing, Vol. 9, Iss. 5, 2017-05 ,pp. : 489-489

MDPI

Access to resources Recommend Favorite

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

By Li Ying Zhang Haokui Shen Qiang

Remote Sensing, Vol. 9, Iss. 1, 2017-01 ,pp. : 67-67

MDPI

Access to resources Recommend Favorite