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Chan-drayaan-1, India’s first mission to the Moon, launched on 22 October 2008, carried HySI payload which provided
Vander Meer, F. (2000). 0000001601 00000 n
HySI (IMS-1) - Hyperspectral Imager (IMS-1) MxT - Multi-spectral CCD Camera: OpenSearch Datasets: Selected IDN OpenSearch Results (search all 14 ) CEOS Cal Val Test Site - Algeria 3 - Pseudo-Invariant Calibration Site (PICS) 0000000616 00000 n
Murali, Space Applications Center, Ahmedabad, for providing laboratory measured spectral response functions data. Image-based atmospheric corrections—revisited and improved.
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Midori 2, and it was the successor to the 1996 mission ADEOS I. 0000001296 00000 n
Hyperspectral Imager (HySI) aboard Indian Mini Satellite (IMS-1), launched on 28 April 2008, was India’s first space-based imaging spec-trometer for oceanic and atmospheric sciences.
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Senthil Kumar, T. Radhika, V. Keerthi, D. S. Jain & V. K. DadhwalSpace Applications Center (ISRO), Ahmedabad, IndiaYou can also search for this author in
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In this paper, we attempt to realize ‘near true’ spectral signatures of the ground features achievable from IMS-1 hyperspectral Imager (HySI) by employing spectral deconvolution method. 0
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Chowdhury, A.R. Schlaper, D., Boerner, A & Schaepman, M. (1999). 0000001431 00000 n
Hyper-Spectral Imager in visible and near-infrared band for lunar compositional mapping. Hyperspectral GOI could cross calibrate all polar-orbiting ocean color sensors.
In this paper, we attempt to realize ‘near true’ spectral signatures of the ground features achievable from IMS-1 hyperspectral Imager (HySI) by employing spectral deconvolution method.
In: Swayze, G. A., Clark, R. N., Goetz, A. F. H., Chrien, T. G., & Gorelick, N. S. (2003). Kumar, A. S., Keerthi, V., Manjunath, A. S., Vender Werff, H., & Vander Meer, F. (2010).
Hyperspectral imager on IMS-1 Size (mm) : 155 (R) x 194 (P) x 211 (Y) Mass (kg) : 2.9 Power (W): 0.88 (Regulated), 2.5 (Raw ) 64 bands 400-950 nm range Spectral interval 8 nm GSD 500 m Swath 129.5 km Quantisation 10 bits
Hyperspectral image classification by variable interval spectral average and spectral curve matching combined algorithm. Effects of spectrometer band pass, sampling, and signal to noise ratio on spectrometer identification using the Tetracoder algorithm. From spectral response function of 64 spectral bands, it is first inferred that their spectral bandwidths are higher than the Nyquist sampling, suggesting that the spectral details of ground features are likely to be affected. trailer
The spectral bands are further sampled to non-overlapping 17 spectral bands at a sampling interval of 25 nm to enable extraction of unique spectral signatures of the ground features.This is a preview of subscription content, Instant access to the full article PDF.Immediate online access to all issues from 2019. You can also search for this author in 0000005799 00000 n