Pollock model based multi-level morphological active contour algorithm for tree detection and crown delineation

Chao Cheng Wu; Shao An Tsai; Yu Lun Wu

doi:10.1109/IGARSS.2016.7729345

Pollock model based multi-level morphological active contour algorithm for tree detection and crown delineation

Chao Cheng Wu
, Shao An Tsai
, Yu Lun Wu

電機工程系

研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

1 引文斯高帕斯（Scopus）

摘要

Forests in mountainous areas normally contain a diverse variety, including tropical rain forests, subtropical evergreen forests, temperate forests, and alpine cold forests. These forests distribute vertically along the central region and can be categorized into broadleaved, mixed, and conifer forests. Terrain features in mountainous areas make manual inspection of forests both labor-intensive and time-consuming if not impossible. By utilizing remote sensing techniques the efforts of field sampling could be effectively reduced.

原文	English
主出版物標題	2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	1356-1357
頁數	2
ISBN（電子）	9781509033324
DOIs	https://doi.org/10.1109/IGARSS.2016.7729345
出版狀態	Published - 1 11月 2016
事件	36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China 持續時間: 10 7月 2016 → 15 7月 2016

出版系列

名字	International Geoscience and Remote Sensing Symposium (IGARSS)
卷	2016-November

Conference

Conference	36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
國家/地區	China
城市	Beijing
期間	10/07/16 → 15/07/16

文獻附註

Publisher Copyright:
© 2016 IEEE.

存取文件

10.1109/IGARSS.2016.7729345

其它文件與鏈接

Link to publication in Scopus

引用此

Wu, C. C., Tsai, S. A., & Wu, Y. L. (2016). Pollock model based multi-level morphological active contour algorithm for tree detection and crown delineation. 於 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings (頁 1356-1357). 文章 7729345 (International Geoscience and Remote Sensing Symposium (IGARSS); 卷 2016-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2016.7729345

Wu, Chao Cheng ; Tsai, Shao An ; Wu, Yu Lun. / Pollock model based multi-level morphological active contour algorithm for tree detection and crown delineation. 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 頁 1356-1357 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{26d0b5bc78024101af88585af33fbd73,

title = "Pollock model based multi-level morphological active contour algorithm for tree detection and crown delineation",

abstract = "Forests in mountainous areas normally contain a diverse variety, including tropical rain forests, subtropical evergreen forests, temperate forests, and alpine cold forests. These forests distribute vertically along the central region and can be categorized into broadleaved, mixed, and conifer forests. Terrain features in mountainous areas make manual inspection of forests both labor-intensive and time-consuming if not impossible. By utilizing remote sensing techniques the efforts of field sampling could be effectively reduced.",

author = "Wu, \{Chao Cheng\} and Tsai, \{Shao An\} and Wu, \{Yu Lun\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",

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Wu, CC, Tsai, SA & Wu, YL 2016, Pollock model based multi-level morphological active contour algorithm for tree detection and crown delineation. 於 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings., 7729345, International Geoscience and Remote Sensing Symposium (IGARSS), 卷 2016-November, Institute of Electrical and Electronics Engineers Inc., 頁 1356-1357, 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7729345

Pollock model based multi-level morphological active contour algorithm for tree detection and crown delineation. / Wu, Chao Cheng; Tsai, Shao An; Wu, Yu Lun.
2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1356-1357 7729345 (International Geoscience and Remote Sensing Symposium (IGARSS); 卷 2016-November).

研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

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AU - Wu, Yu Lun

PY - 2016/11/1

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AB - Forests in mountainous areas normally contain a diverse variety, including tropical rain forests, subtropical evergreen forests, temperate forests, and alpine cold forests. These forests distribute vertically along the central region and can be categorized into broadleaved, mixed, and conifer forests. Terrain features in mountainous areas make manual inspection of forests both labor-intensive and time-consuming if not impossible. By utilizing remote sensing techniques the efforts of field sampling could be effectively reduced.

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BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 10 July 2016 through 15 July 2016

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Wu CC, Tsai SA, Wu YL. Pollock model based multi-level morphological active contour algorithm for tree detection and crown delineation. 於 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1356-1357. 7729345. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2016.7729345

Pollock model based multi-level morphological active contour algorithm for tree detection and crown delineation

摘要

出版系列

Conference

文獻附註

存取文件

其它文件與鏈接

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