Similarity measure for spatial-spectral registration in hyperspectral era

Author

Iwasaki, Akira ; Yokoya, Naoto ; Arai, Takeshi ; Ito, Yuki ; Miyamura, Norihide

Author_Institution

Res. Center for Adv. Technol. & Sci., Univ. of Tokyo, Tokyo, Japan

fYear

2012

fDate

22-27 July 2012

Firstpage

1757

Lastpage

1760

Abstract

In the hyperspectral era, the demand for data registration in spectral region is an important issue in addition to spatial region. Detection of smile and keystone phenomena that are caused by aberrations in spectrometer is related to registration activity, which is crucial for data fusion research. Hyperspectral Imager Suite (HISUI) is a next-generation Japanese optical sensor that is composed of a hyperspectral imager and a multispectral imager, which will be launched on Advanced Land Observation Satellite 3 (ALOS-3). Three similarity measures, normalized cross correlation (NCC), phase correlation (PC) and mutual information (MI), for spatial-spectral registration of hyperspectral data are discussed for Level-1 data processing of HISUI.

Keywords

artificial satellites; geophysical image processing; image fusion; image registration; image sensors; optical sensors; remote sensing; ALOS-3; Advanced Land Observation Satellite 3; HISUI; MI; NCC; PC; data fusion research; data registration; hyperspectral era; hyperspectral imager; hyperspectral imager suite; image registration; keystone phenomena detection; level-1 data processing; multispectral imager; mutual information; next-generation Japanese optical sensor; normalized cross correlation; operational remote sensing; phase correlation; similarity measure; smile phenomena detection; spatial region; spatial-spectral registration; spectrometer; Absorption; Data processing; Hyperspectral imaging; Image registration; Radiometry; Data Registration; HISUI; Hyperspectral; Multispectral; Similarity Measure;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351176

Filename

6351176