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אסיף מאגר המחקר החקלאי
פותח על ידי קלירמאש פתרונות בע"מ -
Spectral and spatial methods of hyperspectral image analysis for estimation of biophysical and biochemical properties of agricultural crops
Year:
2011
Authors :
אלחנתי, ויקטור
;
.
כהן, יפית
;
.
Volume :
Co-Authors:
Facilitators :
From page:
289
To page:
308
(
Total pages:
20
)
Abstract:

The original deœnition of hyperspectral remote sensing, also known as imaging spectrometry/ spectroscopy, refers to the acquisition of images in hundreds of contiguous spectral bands to obtain a high-spectral-resolution data for each pixel of the scene [1]. In reality, this concept is much more related to the ability of the sensors to measure narrow absorption bands rather than the number of bands. For example, despite the difference in the number of bands, the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) with 224 bands (400-2500 nm) and the Compact High Resolution Imaging Spectrometer (CHRIS)/PROBA with 62 bands (410-1000 nm) are both hyperspectral sensors because they have contiguous bands in each spectral range with bandwidths of approximately 10 nm. This bandwidth allows adequate measurement of most of the narrow spectral features that appear in surface component spectra.

Note:

Chapter 13

Related Files :
Agricultural crops
Hyperspectral remote sensing
image analysis
עוד תגיות
תוכן קשור
More details
DOI :
10.1201/b11222-19 
Article number:
0
Affiliations:
Database:
גוגל סקולר
Publication Type:
פרק מתוך ספר
;
.
Language:
אנגלית
Editors' remarks:
ID:
36580
Last updated date:
02/03/2022 17:27
Creation date:
13/08/2018 13:38
Scientific Publication
Spectral and spatial methods of hyperspectral image analysis for estimation of biophysical and biochemical properties of agricultural crops
Spectral and spatial methods of hyperspectral image analysis for estimation of biophysical and biochemical properties of agricultural crops

The original deœnition of hyperspectral remote sensing, also known as imaging spectrometry/ spectroscopy, refers to the acquisition of images in hundreds of contiguous spectral bands to obtain a high-spectral-resolution data for each pixel of the scene [1]. In reality, this concept is much more related to the ability of the sensors to measure narrow absorption bands rather than the number of bands. For example, despite the difference in the number of bands, the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) with 224 bands (400-2500 nm) and the Compact High Resolution Imaging Spectrometer (CHRIS)/PROBA with 62 bands (410-1000 nm) are both hyperspectral sensors because they have contiguous bands in each spectral range with bandwidths of approximately 10 nm. This bandwidth allows adequate measurement of most of the narrow spectral features that appear in surface component spectra.

Chapter 13

Scientific Publication
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