Segmentation for High-Resolution Optical Remote Sensing Imagery Using Improved Quadtree and Region Adjacency Graph Technique

Author： Fu Gang   Zhao Hongrui   Li Cong   Shi Limei  

Publisher： MDPI

E-ISSN： 2072-4292|5|7|3259-3279

ISSN： 2072-4292

Source： Remote Sensing, Vol.5, Iss.7, 2013-07, pp. : 3259-3279

Access to resources Favorite

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

Fast Binary Coding for the Scene Classification of High-Resolution Remote Sensing Imagery

By Hu Fan   Xia Gui-Song   Hu Jingwen   Zhong Yanfei   Xu Kan  

Remote Sensing, Vol. 8, Iss. 7, 2016-06 ,pp. : 555-555

MDPI

Access to resources Recommend Favorite

A Comparative Study of Sampling Analysis in the Scene Classification of Optical High-Spatial Resolution Remote Sensing Imagery

By Hu Jingwen   Xia Gui-Song   Hu Fan   Zhang Liangpei  

Remote Sensing, Vol. 7, Iss. 11, 2015-11 ,pp. : 14988-15013

MDPI

Access to resources Recommend Favorite

Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters

By Xu Yongyang   Wu Liang   Xie Zhong   Chen Zhanlong  

Remote Sensing, Vol. 10, Iss. 1, 2018-01 ,pp. : 144-144

MDPI

Access to resources Recommend Favorite

Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

By Hu Fan   Xia Gui-Song   Hu Jingwen   Zhang Liangpei  

Remote Sensing, Vol. 7, Iss. 11, 2015-11 ,pp. : 14680-14707

MDPI

Access to resources Recommend Favorite

Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing

By Löw Fabian   Duveiller Grégory  

Remote Sensing, Vol. 6, Iss. 9, 2014-09 ,pp. : 9034-9063

MDPI

Access to resources Recommend Favorite