Literature DB >> 17735325

Imaging spectrometry for Earth remote sensing.

A F Goetz, G Vane, J E Solomon, B N Rock.   

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.

Year:  1985        PMID: 17735325     DOI: 10.1126/science.228.4704.1147

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  63 in total

1.  Exploring the relationship between vegetation spectra and eco-geo-environmental conditions in karst region, Southwest China.

Authors:  Yuemin Yue; Kelin Wang; Bing Zhang; Zhengchao Chen; Quanjun Jiao; Bo Liu; Hongsong Chen
Journal:  Environ Monit Assess       Date:  2010-01       Impact factor: 2.513

2.  Large-scale climatic and geophysical controls on the leaf economics spectrum.

Authors:  Gregory P Asner; David E Knapp; Christopher B Anderson; Roberta E Martin; Nicholas Vaughn
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-27       Impact factor: 11.205

Review 3.  Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

Authors:  H M Davey; D B Kell
Journal:  Microbiol Rev       Date:  1996-12

4.  Optimization of Light Transmission through an Excitation-scan Hyperspectral Mirror Array System.

Authors:  Marina Parker; Craig M Browning; Thomas C Rich; Silas J Leavesley
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-03-04

5.  Line-scanning hyperspectral imaging based on structured illumination optical sectioning.

Authors:  Yu John Hsu; Chih-Chiang Chen; Chien-Hsiang Huang; Chia-Hua Yeh; Li-Ying Liu; Szu-Yu Chen
Journal:  Biomed Opt Express       Date:  2017-05-18       Impact factor: 3.732

6.  [Endoscopy of the larynx by hyperspectral imaging].

Authors:  A O H Gerstner; W Laffers; G Schade; F Göke; R Martin; B Thies
Journal:  HNO       Date:  2012-12       Impact factor: 1.284

7.  Remote sensing of canopy chemistry.

Authors:  Susan L Ustin
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-07       Impact factor: 11.205

8.  Detection of pancreatic tumor cell nuclei via a hyperspectral analysis of pathological slides based on stain spectra.

Authors:  Masahiro Ishikawa; Chisato Okamoto; Kazuma Shinoda; Hideki Komagata; Chika Iwamoto; Kenoki Ohuchida; Makoto Hashizume; Akinobu Shimizu; Naoki Kobayashi
Journal:  Biomed Opt Express       Date:  2019-08-09       Impact factor: 3.732

9.  Detecting brain tumor in pathological slides using hyperspectral imaging.

Authors:  Samuel Ortega; Himar Fabelo; Rafael Camacho; María de la Luz Plaza; Gustavo M Callicó; Roberto Sarmiento
Journal:  Biomed Opt Express       Date:  2018-01-25       Impact factor: 3.732

10.  Colorectal cancer detection by hyperspectral imaging using fluorescence excitation scanning.

Authors:  Silas J Leavesley; Joshua Deal; Shante Hill; Will A Martin; Malvika Lall; Carmen Lopez; Paul F Rider; Thomas C Rich; Carole W Boudreaux
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-02-19
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