Results 211 to 220 of about 23,100 (259)
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Discovering Diverse Subset for Unsupervised Hyperspectral Band Selection
IEEE Transactions on Image Processing, 2017Band selection, as a special case of the feature selection problem, tries to remove redundant bands and select a few important bands to represent the whole image cube. This has attracted much attention, since the selected bands provide discriminative information for further applications and reduce the computational burden.
Yuan, Yuan +3 more
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Morphological Band Selection for Hyperspectral Imagery
IEEE Geoscience and Remote Sensing Letters, 2018In this letter, a novel morphological band selection method is proposed to obtain the most representative bands from hyperspectral image (HSI) in an unsupervised manner. In order to sufficiently process the HSI, we propose to use only a small set of data instead of using the original full data.
Wang, Jingyu +4 more
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Fast Band Selection for Hyperspectral Imagery
2011 IEEE 17th International Conference on Parallel and Distributed Systems, 2011Band selection is a common technique for dimensionality reduction of hyperspectral imagery. When the desired object information is unknown, an unsupervised band selection approach is employed to select the most distinctive and informative bands. However, it may be time-consuming for unsupervised band selection methods that need to take all pixels into ...
He Yang, Qian Du
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Hyperspectral band selection using firefly algorithm
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2014A novel band selection algorithm for hyperspectral dimensionality reduction by improving the firefly algorithm is put forward. Specifically, the framework which using bio-inspired algorithm for hyperspectral band selection is described; the between-class separability criteria such as Jeffreys-Matusita (JM) distance, transformation divergence (TD) are ...
Hongjun Su, Qiannan Li, Peijun Du
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Compact hyperspectral imager with selectable bands
SPIE Proceedings, 2006This paper gives an overview of the configuration and design of a Compact Hyper spectral imager with feature of having selectable bands in the visible and near infrared spectral region of 0.4 to 0.9?m. The instrument is configured for spatial resolution of 500m and swath of 128Km from 700Km polar orbit with a 12-bit quantization.
A. Roy Chowdhury, K. R. Murali
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Dynamic band selection for hyperspectral imagery
2011 IEEE International Geoscience and Remote Sensing Symposium, 2011This paper presents a new BS, called dynamic BS (DBS) which revolutionizes the commonly used BS by considering the number of bands to be selected, p as a variable which varies with criterion used for BS and different applications. Its idea is derived from information theory where it assumes that signal sources are considered as source alphabets with ...
Keng-Hao Liu, Chein-I Chang
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Spectral similarity-preserving hyperspectral band selection
Remote Sensing Letters, 2013Due to the high spectral resolution, hyperspectral images (HSI) have been widely used in land cover classification and material identification. Band selection is one of the necessary preprocessings to reduce the data volume and the redundancy therein for the subsequent analysis. Aiming at speeding up the search-based band selection process, this letter
Shijin Li +3 more
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Hyperspectral band selection for human detection
2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012Human detection based on spectral information is required for various applications, e.g. surveillance, tracking and missing person investigation. In practice, spectral human detection encounters the inherent challenge, i.e. multiple targets detection based on a limited number of spectral bands, because (1) there is a great variety in spectral profiles ...
Kuniaki Uto +3 more
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Hyperspectral Band Selection via Rank Minimization
IEEE Geoscience and Remote Sensing Letters, 2017Band selection is an important preprocessing technique for hyperspectral imagery, through which a subset of critical and representative spectral bands can be selected from a raw image cube for compact yet effect representation. Among the valid selection strategies, performing band selection in an unsupervised manner is usually considered more general ...
Guokang Zhu +4 more
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Hyperspectral band selection with similarity assessment
SPIE Proceedings, 2009Hyperspectral band selection extracts several bands of importance in some sense by taking advantage of high spectral correlation. Driven by detection or classification accuracy, one would expect that using a subset of original bands the accuracy is unchanged or tolerably degraded while computational burden is significantly relaxed.
He Yang, Qian Du
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