Classification of Plants by Using Hyperspectral Data

Ishimura, Kosei; Wada, M; Inagaki, Yuya; Satori, Shin; Nakazawa, M.

doi:10.3154/jvs.28.1145

Search citation statements

Order By: Relevance

Paper Sections

Select...

Effects Of the Erroneous Classification1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2010

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The procedure of classification is shown in Fig.9. The targets that reduced dimension by 2 nd derivative spectrum are classified by using maximum likehood method 8) . Fig.10 shows the classification example that was provided by using HSC1700.…”

Section: Effects Of the Erroneous Classificationmentioning

confidence: 99%

Breadboard Model of On-orbit Calibration Equipment for Small Hyperspectral Sensor

Aoyanagi

Satori

Takeuchi³

2010

AEROSPACE TECHNOLOGY JAPAN

Self Cite

View full text Add to dashboard Cite

This paper examined the effect of atmospheric correction on that hyperspectral sensors have wavelength error. Also we examined the effects of classification result on erroneous atmospheric correction. Additionally, this paper proposes new spectral calibration device named OCE (On-orbit Calibration Equipment) which consists of the visible and near infrared LEDs. The calibration accuracy by OCE compared with spectral lines of mercury and xenon has been evaluated. The OCE-BBM to central pixel of spatial direction can be calibrated with sufficient accuracy.

show abstract

Section: Effects Of the Erroneous Classificationmentioning

confidence: 99%