Results 251 to 260 of about 289,355 (305)

Soluble solids content prediction of pineapple based on visible-near infrared hyperspectral image. [PDF]

Front Plant Sci
Yao Y, He J, Gao Z, Zhu Z, Liu S, Li C, Feng H, Zhang X.   +7 more
europepmc   +1 more source

3D-TEE: an essential tool for percutaneous occlusion of atrial septal defects with anomalous band. [PDF]

J Cardiothorac Surg
Zhang P, Li J, Lv M.
europepmc   +1 more source

Frequency Band Analysis of Multiple Stationary Time Series. [PDF]

Stat Med
Brubaker CK, Manning JP, Yentes JM, Bruce SA.   +3 more
europepmc   +1 more source

Rapid Flaxseed Protein Content Determination with Hyperspectral Band Selection with Model-Embedded Moaco–Gan–3-Layer Fnn

Bo Wang, Xiaojiang Wang, Junying Han, chengzhong liu   +3 more
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Optimal channel selection of electroencephalography based on functional network via global graph measurements: application for epilepsy. [PDF]

Sci Rep
Lee S, Kim H, Kim JH, Huh H, Kim DJ, Kim JB.   +5 more
europepmc   +1 more source

Enabling rapid and accurate grand discrimination of flue-cured tobacco: a near-infrared hyperspectral and machine learning approach. [PDF]

Front Plant Sci
Zou J, Gao H, Wang D, Chen Y, Deng S, Shi N, Yang S, Huang C, Zi D, Du Y, Bai Y, Wang N, Wang G, Liu Z, Zhang J, Zhou P.   +15 more
europepmc   +1 more source

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Uniform Band Interval Divided Band Selection

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
This paper presents a new band selection approach, called uniform band interval divided band selection (UBIDBS) which uniformly divides a band range into a finite number of band intervals from which a band can be selected from each band interval according to a custom designed band prioritization (BP) criterion. Two BP criteria are introduced.
Fang Li, Hongju Cao, Xiaodi Shang, Meiping Song, Chunyan Yu, Chein-I Chang   +5 more
openaire   +1 more source

Band Selection Using Dilation Distances

IEEE Geoscience and Remote Sensing Letters, 2022
In this letter, we adapt the dilation operator from mathematical morphology to propose dilation distances. These dilation distances are then used for band selection in hyperspectral images. It is shown that dilation distances between bands can capture the spatial distance between the objects.
Aditya Challa, Geetika Barman, Sravan Danda, B. S. Daya Sagar   +3 more
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Adaptive hyperspectral band selection

SPIE Proceedings, 2005
We 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
openaire   +1 more source