Abstract

Imaging spectrometry, a new technique for the remote sensing of the earth, is now technically feasible from aircraft and spacecraft. The initial results show that remote, direct identification of surface materials on a picture-element basis can be accomplished by proper sampling of absorption features in the reflectance spectrum. The airborne and spaceborne sensors are capable of acquiring images simultaneously in 100 to 200 contiguous spectral bands. The ability to acquire laboratory-like spectra remotely is a major advance in remote sensing capability. Concomitant advances in computer technology for the reduction and storage of such potentially massive data sets are at hand, and new analytic techniques are being developed to extract the full information content of the data. The emphasis on the deterministic approach to multispectral data analysis as opposed to the statistical approaches used in the past should stimulate the development of new digital image-processing methodologies.

Keywords

Remote sensingMultispectral imageHyperspectral imagingComputer scienceSpacecraftEarth observationSampling (signal processing)Identification (biology)Remote sensing applicationData processingMultispectral pattern recognitionComputer visionSatelliteGeologyEngineeringDatabaseAerospace engineering

Affiliated Institutions

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Publication Info

Year
1985
Type
article
Volume
228
Issue
4704
Pages
1147-1153
Citations
1832
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1832
OpenAlex
55
Influential
1439
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Cite This

Alexander Goetz, Gregg Vane, Jerry E. Solomon et al. (1985). Imaging Spectrometry for Earth Remote Sensing. Science , 228 (4704) , 1147-1153. https://doi.org/10.1126/science.228.4704.1147

Identifiers

DOI
10.1126/science.228.4704.1147
PMID
17735325

Data Quality

Data completeness: 77%