نتایج جستجو برای: multispectral analysis

تعداد نتایج: 2829381  

2003
Rajeev Ramanath Wesley E. Snyder Hairong Qi

We address the problem of representing multispectral images of objects using eigenviews for recognition purposes. Eigenviews have long been used for object recognition and pose estimation purposes in the grayscale and color image settings. The purpose of this paper is two-fold: firstly to extend the idealogies of eigenviews to multispectral images and secondly to propose the use of dimensionali...

2014
Gerrit Cornelis Langhout Diederik Johannes Grootendorst Omgo Edo Nieweg Michel Wilhelmus Jacobus Maria Wouters Jos Alexander van der Hage Jithin Jose Hester van Boven Wiendelt Steenbergen Srirang Manohar Theo Jacques Marie Ruers

Objective. Sentinel node biopsy in patients with cutaneous melanoma improves staging, provides prognostic information, and leads to an increased survival in node-positive patients. However, frozen section analysis of the sentinel node is not reliable and definitive histopathology evaluation requires days, preventing intraoperative decision-making and immediate therapy. Photoacoustic imaging can...

2015
Gayathri Rajagopal Senthil Kumar Manoharan

Biometrics authentication is an effective method for automatically recognizing a person's identity with high confidence. Multispectral palm print biometric system is relatively new biometric technology and is in the progression of being endlessly refined and developed. Multispectral palm print biometric system is a promising biometric technology for use in various applications including banking...

2012
Paritosh Pande Brian E. Applegate Javier A. Jo

Existing methods of interpreting fluorescence lifetime imaging microscopy (FLIM) images are based on comparing the intensity and lifetime values at each pixel with those of known fluorophores. This method becomes unwieldy and subjective in many practical applications where there are several fluorescing species contributing to the bulk fluorescence signal, and even more so in the case of multisp...

2010
Gianfranco Bianco Fabio Bruno Anna Tonazzini Emanuele Salerno Pasquale Savino Barbara Zitová Filip Sroubek Elena Console

Historical documents often undergo various changes over time, that alter their original state and reduce their legibility. Digital techniques are widely applied for document preservation, archiving, analysis and dissemination over the Internet. The goal of restoration is to improve the document legibility for both human and automatic operators, to extract patterns and enhance colour reproductio...

2013
Mohamadreza Najiminaini Fartash Vasefi Bozena Kaminska Jeffrey J. L. Carson

We present a two-dimensional (2D) snapshot multispectral imager that utilizes the optical transmission characteristics of nanohole arrays (NHAs) in a gold film to resolve a mixture of input colors into multiple spectral bands. The multispectral device consists of blocks of NHAs, wherein each NHA has a unique periodicity that results in transmission resonances and minima in the visible and near-...

2013
C. D. McGillem P. E. Anuta E. Malaret K. B. Yu

Satellite-based multispectral imaging systems have been in operation since 1972 and the latest in the Landsat series of sensors was launched in July 1982. One system parameter of interest is resolution and this paper discusses experiments to determine the actual overall resolution after launch. Atmospheric effects and postprocessing effects add to the prelaunch optical resolution. Scene structu...

2007
Jorge de la Calleja Olac Fuentes

In this paper we present an automated method for classifying astronomical objects in multi-spectral widefield images. The classification method is divided into three main stages. The first one consists of locating and matching the astronomical objects in the multi-spectral images. In the second stage we create a compact representation of each object applying principal component analysis to the ...

Journal: :Remote Sensing 2017
Naoto Yokoya

This paper presents a novel technique, namely texture-guided multisensor superresolution (TGMS), for fusing a pair of multisensor multiresolution images to enhance the spatial resolution of a lower-resolution data source. TGMS is based on multiresolution analysis, taking object structures and image textures in the higher-resolution image into consideration. TGMS is designed to be robust against...

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