A backscattering data simulation model for forest canopy based on canopy height information

Qiang Gao; Meng Ke; Zegang DIng; Tao Zeng

doi:10.1109/RADAR.2018.8378626

A backscattering data simulation model for forest canopy based on canopy height information

Qiang Gao, Meng Ke, Zegang DIng, Tao Zeng

School of Information and Electronics

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed. Firstly, the crown information is extract from the canopy height data. To solve the problem of multiple crown centers are extracted from the same crown, a layered local maxima algorithm is proposed. Then, the Monte Carlo coherent scattering model is used to simulate the forest backscatter data. Finally, the similarity of the simulation data is verified by the measured airborne data in Genhe City, Inner Mongolia Autonomous Region, China.

Original language	English
Title of host publication	2018 IEEE Radar Conference, RadarConf 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	593-597
Number of pages	5
ISBN (Electronic)	9781538641675
DOIs	https://doi.org/10.1109/RADAR.2018.8378626
Publication status	Published - 8 Jun 2018
Event	2018 IEEE Radar Conference, RadarConf 2018 - Oklahoma City, United States Duration: 23 Apr 2018 → 27 Apr 2018

Publication series

Name	2018 IEEE Radar Conference, RadarConf 2018

Conference

Conference	2018 IEEE Radar Conference, RadarConf 2018
Country/Territory	United States
City	Oklahoma City
Period	23/04/18 → 27/04/18

Keywords

Forest backscattering
Layered local maxima
Synthetic aperture radar
tree crown extraction

Access to Document

10.1109/RADAR.2018.8378626

Cite this

@inproceedings{2513c589110742b1abc57a837b473195,

title = "A backscattering data simulation model for forest canopy based on canopy height information",

abstract = "The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed. Firstly, the crown information is extract from the canopy height data. To solve the problem of multiple crown centers are extracted from the same crown, a layered local maxima algorithm is proposed. Then, the Monte Carlo coherent scattering model is used to simulate the forest backscatter data. Finally, the similarity of the simulation data is verified by the measured airborne data in Genhe City, Inner Mongolia Autonomous Region, China.",

keywords = "Forest backscattering, Layered local maxima, Synthetic aperture radar, tree crown extraction",

author = "Qiang Gao and Meng Ke and Zegang DIng and Tao Zeng",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Radar Conference, RadarConf 2018 ; Conference date: 23-04-2018 Through 27-04-2018",

year = "2018",

month = jun,

day = "8",

doi = "10.1109/RADAR.2018.8378626",

language = "English",

series = "2018 IEEE Radar Conference, RadarConf 2018",

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

pages = "593--597",

booktitle = "2018 IEEE Radar Conference, RadarConf 2018",

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}

Gao, Q, Ke, M, DIng, Z & Zeng, T 2018, A backscattering data simulation model for forest canopy based on canopy height information. in 2018 IEEE Radar Conference, RadarConf 2018. 2018 IEEE Radar Conference, RadarConf 2018, Institute of Electrical and Electronics Engineers Inc., pp. 593-597, 2018 IEEE Radar Conference, RadarConf 2018, Oklahoma City, United States, 23/04/18. https://doi.org/10.1109/RADAR.2018.8378626

A backscattering data simulation model for forest canopy based on canopy height information. / Gao, Qiang; Ke, Meng; DIng, Zegang et al.
2018 IEEE Radar Conference, RadarConf 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 593-597 (2018 IEEE Radar Conference, RadarConf 2018).

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

TY - GEN

T1 - A backscattering data simulation model for forest canopy based on canopy height information

AU - Gao, Qiang

AU - Ke, Meng

AU - DIng, Zegang

AU - Zeng, Tao

PY - 2018/6/8

Y1 - 2018/6/8

N2 - The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed. Firstly, the crown information is extract from the canopy height data. To solve the problem of multiple crown centers are extracted from the same crown, a layered local maxima algorithm is proposed. Then, the Monte Carlo coherent scattering model is used to simulate the forest backscatter data. Finally, the similarity of the simulation data is verified by the measured airborne data in Genhe City, Inner Mongolia Autonomous Region, China.

AB - The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed. Firstly, the crown information is extract from the canopy height data. To solve the problem of multiple crown centers are extracted from the same crown, a layered local maxima algorithm is proposed. Then, the Monte Carlo coherent scattering model is used to simulate the forest backscatter data. Finally, the similarity of the simulation data is verified by the measured airborne data in Genhe City, Inner Mongolia Autonomous Region, China.

KW - Forest backscattering

KW - Layered local maxima

KW - Synthetic aperture radar

KW - tree crown extraction

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U2 - 10.1109/RADAR.2018.8378626

DO - 10.1109/RADAR.2018.8378626

M3 - Conference contribution

AN - SCOPUS:85049940676

T3 - 2018 IEEE Radar Conference, RadarConf 2018

SP - 593

EP - 597

BT - 2018 IEEE Radar Conference, RadarConf 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Radar Conference, RadarConf 2018

Y2 - 23 April 2018 through 27 April 2018

ER -

A backscattering data simulation model for forest canopy based on canopy height information

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Keywords

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