Estimation of cone index from water content and soil types obtained from hyperspectral images

Norihiro Yamauchi; Kazuhiro Chayama; Atsushi Yamashita; Hajime Asama; Shota Chikushi; Yusuke Tamura; Hiroshi Yamakawa; Keiji Nagatani; Hiromitsu Fujii; Yuya Sakai; Takumi Chiba; Shingo Yamamoto

doi:10.1109/GCCE46687.2019.9015564

Estimation of cone index from water content and soil types obtained from hyperspectral images

Norihiro Yamauchi, Kazuhiro Chayama, Atsushi Yamashita, Hajime Asama, Shota Chikushi, Yusuke Tamura, Hiroshi Yamakawa, Keiji Nagatani, Hiromitsu Fujii, Yuya Sakai, Takumi Chiba, Shingo Yamamoto

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

1 Citation (Scopus)

Abstract

In this study, it is aimed at non-contact judgment of traversability for construction machinery on weak ground. A new method for estimating cone index, one of the indicators of traversability, from discriminated soil types and estimated water content by hyperspectral cameras is proposed. Based on the initial experiments, there is a possibility to estimate cone index from hyperspectral images.

Original language	English
Title of host publication	2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	975-978
Number of pages	4
ISBN (Electronic)	9781728135755
DOIs	https://doi.org/10.1109/GCCE46687.2019.9015564
Publication status	Published - 2019 Oct
Externally published	Yes
Event	8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan Duration: 2019 Oct 15 → 2019 Oct 18

Publication series

Name	2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

Conference

Conference	8th IEEE Global Conference on Consumer Electronics, GCCE 2019
Country/Territory	Japan
City	Osaka
Period	19/10/15 → 19/10/18

Keywords

Cone index
Hyperspectral image
Traversability

ASJC Scopus subject areas

Instrumentation
Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/GCCE46687.2019.9015564

Cite this

Yamauchi, N., Chayama, K., Yamashita, A., Asama, H., Chikushi, S., Tamura, Y., Yamakawa, H., Nagatani, K., Fujii, H., Sakai, Y., Chiba, T., & Yamamoto, S. (2019). Estimation of cone index from water content and soil types obtained from hyperspectral images. In 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019 (pp. 975-978). [9015564] (2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE46687.2019.9015564

Estimation of cone index from water content and soil types obtained from hyperspectral images. / Yamauchi, Norihiro; Chayama, Kazuhiro; Yamashita, Atsushi; Asama, Hajime; Chikushi, Shota; Tamura, Yusuke; Yamakawa, Hiroshi; Nagatani, Keiji; Fujii, Hiromitsu; Sakai, Yuya; Chiba, Takumi; Yamamoto, Shingo.

2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 975-978 9015564 (2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019).

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

Yamauchi, N, Chayama, K, Yamashita, A, Asama, H, Chikushi, S, Tamura, Y, Yamakawa, H, Nagatani, K, Fujii, H, Sakai, Y, Chiba, T & Yamamoto, S 2019, Estimation of cone index from water content and soil types obtained from hyperspectral images. in 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019., 9015564, 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 975-978, 8th IEEE Global Conference on Consumer Electronics, GCCE 2019, Osaka, Japan, 19/10/15. https://doi.org/10.1109/GCCE46687.2019.9015564

Yamauchi N, Chayama K, Yamashita A, Asama H, Chikushi S, Tamura Y et al. Estimation of cone index from water content and soil types obtained from hyperspectral images. In 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 975-978. 9015564. (2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019). https://doi.org/10.1109/GCCE46687.2019.9015564

Yamauchi, Norihiro ; Chayama, Kazuhiro ; Yamashita, Atsushi ; Asama, Hajime ; Chikushi, Shota ; Tamura, Yusuke ; Yamakawa, Hiroshi ; Nagatani, Keiji ; Fujii, Hiromitsu ; Sakai, Yuya ; Chiba, Takumi ; Yamamoto, Shingo. / Estimation of cone index from water content and soil types obtained from hyperspectral images. 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 975-978 (2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019).

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title = "Estimation of cone index from water content and soil types obtained from hyperspectral images",

abstract = "In this study, it is aimed at non-contact judgment of traversability for construction machinery on weak ground. A new method for estimating cone index, one of the indicators of traversability, from discriminated soil types and estimated water content by hyperspectral cameras is proposed. Based on the initial experiments, there is a possibility to estimate cone index from hyperspectral images.",

keywords = "Cone index, Hyperspectral image, Traversability",

author = "Norihiro Yamauchi and Kazuhiro Chayama and Atsushi Yamashita and Hajime Asama and Shota Chikushi and Yusuke Tamura and Hiroshi Yamakawa and Keiji Nagatani and Hiromitsu Fujii and Yuya Sakai and Takumi Chiba and Shingo Yamamoto",

note = "Funding Information: This work was in part supported by JSPS KAKENHI Grant Number JP18K13810. Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IEEE Global Conference on Consumer Electronics, GCCE 2019 ; Conference date: 15-10-2019 Through 18-10-2019",

year = "2019",

month = oct,

doi = "10.1109/GCCE46687.2019.9015564",

language = "English",

series = "2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019",

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AU - Chikushi, Shota

AU - Tamura, Yusuke

AU - Yamakawa, Hiroshi

AU - Nagatani, Keiji

AU - Fujii, Hiromitsu

AU - Sakai, Yuya

AU - Chiba, Takumi

AU - Yamamoto, Shingo

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AB - In this study, it is aimed at non-contact judgment of traversability for construction machinery on weak ground. A new method for estimating cone index, one of the indicators of traversability, from discriminated soil types and estimated water content by hyperspectral cameras is proposed. Based on the initial experiments, there is a possibility to estimate cone index from hyperspectral images.

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ER -

Estimation of cone index from water content and soil types obtained from hyperspectral images

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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