Bi-heterogeneous convolutional neural network for UAV-based dynamic scene classification

Jiewan Zheng; Xianbin Cao

doi:10.1109/ICNSURV.2017.8012010

Bi-heterogeneous convolutional neural network for UAV-based dynamic scene classification

Jiewan Zheng
, Xianbin Cao

School of Electronic and Information Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Original language	English
Title of host publication	ICNS 2017 - ICNS
Subtitle of host publication	CNS/ATM Challenges for UAS Integration
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509053759
DOIs	https://doi.org/10.1109/ICNSURV.2017.8012010
State	Published - 16 Aug 2017
Event	17th Integrated Communications, Navigation and Surveillance Systems Conference, ICNS 2017 - Herndon, United States Duration: 18 Apr 2017 → 20 Apr 2017

Publication series

Name	ICNS 2017 - ICNS: CNS/ATM Challenges for UAS Integration

Conference

Conference	17th Integrated Communications, Navigation and Surveillance Systems Conference, ICNS 2017
Country/Territory	United States
City	Herndon
Period	18/04/17 → 20/04/17

Access to Document

10.1109/ICNSURV.2017.8012010

Cite this

@inproceedings{f250a53ed50242dabc8ce8091d14219a,

title = "Bi-heterogeneous convolutional neural network for UAV-based dynamic scene classification",

author = "Jiewan Zheng and Xianbin Cao",

year = "2017",

month = aug,

day = "16",

doi = "10.1109/ICNSURV.2017.8012010",

language = "英语",

series = "ICNS 2017 - ICNS: CNS/ATM Challenges for UAS Integration",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ICNS 2017 - ICNS",

address = "美国",

note = "17th Integrated Communications, Navigation and Surveillance Systems Conference, ICNS 2017 ; Conference date: 18-04-2017 Through 20-04-2017",

}

Zheng, J & Cao, X 2017, Bi-heterogeneous convolutional neural network for UAV-based dynamic scene classification. in ICNS 2017 - ICNS: CNS/ATM Challenges for UAS Integration., 8012010, ICNS 2017 - ICNS: CNS/ATM Challenges for UAS Integration, Institute of Electrical and Electronics Engineers Inc., 17th Integrated Communications, Navigation and Surveillance Systems Conference, ICNS 2017, Herndon, United States, 18/04/17. https://doi.org/10.1109/ICNSURV.2017.8012010

Bi-heterogeneous convolutional neural network for UAV-based dynamic scene classification. / Zheng, Jiewan; Cao, Xianbin.
ICNS 2017 - ICNS: CNS/ATM Challenges for UAS Integration. Institute of Electrical and Electronics Engineers Inc., 2017. 8012010 (ICNS 2017 - ICNS: CNS/ATM Challenges for UAS Integration).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bi-heterogeneous convolutional neural network for UAV-based dynamic scene classification

AU - Zheng, Jiewan

AU - Cao, Xianbin

PY - 2017/8/16

Y1 - 2017/8/16

UR - https://www.scopus.com/pages/publications/85029429855

U2 - 10.1109/ICNSURV.2017.8012010

DO - 10.1109/ICNSURV.2017.8012010

M3 - 会议稿件

AN - SCOPUS:85029429855

T3 - ICNS 2017 - ICNS: CNS/ATM Challenges for UAS Integration

BT - ICNS 2017 - ICNS

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th Integrated Communications, Navigation and Surveillance Systems Conference, ICNS 2017

Y2 - 18 April 2017 through 20 April 2017

ER -

Bi-heterogeneous convolutional neural network for UAV-based dynamic scene classification

Publication series

Conference

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