Feature and Deep Learning in Remote Sensing Applications

被引：9

作者：

Ball, John E. ^{[1
]}

Anderson, Derek T. ^{[1
]}

Chan, Chee Seng ^{[2
]}

机构：

[1] Mississippi State Univ, Dept Elect & Comp Engn, Mississippi State, MS 39762 USA

[2] Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur, Malaysia

来源：

JOURNAL OF APPLIED REMOTE SENSING | 2018年 / 11卷

关键词：

deep learning; remote sensing; convolutional neural networks; computer vision;

D O I：

10.1117/1.JRS.11.042601

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This PDF file contains the editorial Special Section Guest Editorial: Feature and Deep Learning in Remote Sensing Application" for JARS Vol. 11 Issue 4. © 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)."

引用

页数：4