Spectral correlation of natural ground terrain images at the spectral range of 0.4/1.05 um

Eyal Agassi; Nissim Ben-Yosef; Amotz Wietz; Yehiel Vashdi

doi:10.1117/12.150991

13 August 1993 Spectral correlation of natural ground terrain images at the spectral range of 0.4/1.05 μm

Eyal Agassi, Nissim Ben-Yosef, Amotz Wietz, Yehiel Vashdi

Proceedings Volume 1971, 8th Meeting on Optical Engineering in Israel: Optical Engineering and Remote Sensing; (1993) https://doi.org/10.1117/12.150991
Event: 8th Meeting in Israel on Optical Engineering, 1992, Tel Aviv, Israel

Abstract

Principal Component Analysis is a well-known statistical method which is commonly applied in the analysis of multispectral images. This paper presents some of the results that have been received by this method of multispectral images of natural background terrain at high spectral and spatial resolution in the spectral range of 0.4 - 1.05. The results show that images at the visible band and near IR are highly correlated within each band, but poorly correlated between bands. However, PC analysis shows that they are not independent spectral bands, since they have high correlation or anti-correlation with the main principal components. Another important finding is a `neutral wavelength,' which shows very little spectral difference between bare soil and vegetation. This wavelength can be used as an indicator for vegetation types and seasonal changes, and for spectral enhancement at remotely sensed images in real time.

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Eyal Agassi, Nissim Ben-Yosef, Amotz Wietz, and Yehiel Vashdi "Spectral correlation of natural ground terrain images at the spectral range of 0.4/1.05 μm", Proc. SPIE 1971, 8th Meeting on Optical Engineering in Israel: Optical Engineering and Remote Sensing, (13 August 1993); https://doi.org/10.1117/12.150991

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KEYWORDS

Vegetation

Multispectral imaging

Statistical analysis

Principal component analysis

Optical engineering

Radiometry

Spatial resolution

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