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 proceedingConference contribution

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 languageEnglish
Title of host publication2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages975-978
Number of pages4
ISBN (Electronic)9781728135755
DOIs
Publication statusPublished - 2019 Oct
Externally publishedYes
Event8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
Duration: 2019 Oct 152019 Oct 18

Publication series

Name2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

Conference

Conference8th IEEE Global Conference on Consumer Electronics, GCCE 2019
CountryJapan
CityOsaka
Period19/10/1519/10/18

Keywords

  • Cone index
  • Hyperspectral image
  • Traversability

ASJC Scopus subject areas

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

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