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A Band Selection Technique for Spectral Classification
IEEE Geoscience and Remote Sensing Letters, 2005In hyperspectral remote sensing, sensors acquire reflectance values at many different wavelength bands, to cover a complete spectral interval. These measurements are strongly correlated, and no new information might be added when increasing the spectral resolution.
Steve De Backer +3 more
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Band selection procedure for multispectral scanners
Applied Optics, 1994Advances in high spectral resolution sensors and in data handling capabilities are enabling development of greatly improved remote-sensing devices for resource monitoring, so that design trade-offs are required. A methodology for optimizing selection of spectral bands for multispectral instruments such as those on the LANDSAT series of satellites is ...
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Laparoscopic Banding: Selection and Technique in 830 Patients
Obesity Surgery, 2002Laparoscopic adjustable gastric banding (LAGB) with the Lap-Band has been our first choice operation for morbid obesity since September 1993. Results in terms of complications and weight loss are analyzed.830 consecutive patients (F 77.9%) underwent LAGB.
FAVRETTI F +10 more
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IEEE Transactions on Geoscience and Remote Sensing, 1999
Band selection for remotely sensed image data is an effective means to mitigate the curse of dimensionality. Many criteria have been suggested in the past for optimal band selection. In this paper, a joint band-prioritization and band-decorrelation approach to band selection is considered for hyperspectral image classification.
Chein-I Chang +3 more
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Band selection for remotely sensed image data is an effective means to mitigate the curse of dimensionality. Many criteria have been suggested in the past for optimal band selection. In this paper, a joint band-prioritization and band-decorrelation approach to band selection is considered for hyperspectral image classification.
Chein-I Chang +3 more
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Integrated Selectivity for Narrow-Band FM IF Systems
ESSCIRC '89: Proceedings of the 15th European Solid-State Circuits Conference, 1989An 18th-order all-pole continuous-time bandpass filter for IF filtering purposes has been designed and integrated in a 3 ?m CMOS process. Implemented using nine fully-balanced, transconductor-capacitor coupled resonators, the filter features 20 kHz bandwidth at 200 kHz center frequency, 54 dB dynamic range (IM3 ≪ - 40 dB) and consumes 300 ?A from a ...
François Krummenacher +1 more
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Adaptive hyperspectral band selection
SPIE Proceedings, 2005We present a new technique for adaptive band selection from hyperspectral image cubes for detecting small targets using an anomaly detector. The proposed technique ensures the selection of lowest number of spectral bands using Mahalanobis distance, maximum affordable extra noise variance, and Constant False Alarm Rate (CFAR) anomaly detector threshold.
M. S. Alam, S. Ochilov
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Band-selective radiofrequency pulses
Journal of Magnetic Resonance (1969), 1991A theoretical treatment is given of the general problem of designing amplitude-modulated radiofrequency pulses that will excite a specified band of frequencies within a high-resolution NMR spectrum with uniform intensity and phase but with negligible excitation elsewhere.
Helen Geen, Ray Freeman
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Performance evaluation of band AMC using dynamic band selection
2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014Adaptive Modulation and Coding (AMC) is one of key technologies in 4G system. Band AMC technique enables the Orthogonal Frequency-Division Multiple Access (OFDMA) system to achieve their maximum throughput by efficient utilization of wireless channel characteristics.
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Methodology for Hyperspectral Band Selection
Photogrammetric Engineering & Remote Sensing, 2004While hyperspectral data are very rich in information, processing the hyperspectral data poses several challenges regarding computational requirements, information redundancy removal, relevant information identification, and modeling accuracy.
Peter Bajcsy, Peter Groves
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Sensitivities of Band-Edge Selectivities
Analog Integrated Circuits and Signal Processing, 1999Many filters have a band-edge selectivity (BES) that is a function of parameters other than filter order. In these cases, the band-edge selectivity can be maximized without increasing the order of the filter. However, in increasing BES, we must keep track of the sensitivity of BES to the parameters.
Celestino A. Corral +2 more
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