Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Christoph C. Borel"'
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.
Real-time object recognition systems are critical for several UAV applications since they provide fundamental semantic information of the aerial scene. In this study, we describe how image quality limits object detection frame-works such as YOLO whic
Publikováno v:
International Journal of Remote Sensing. 36:4779-4792
In this article we describe the end-to-end processing of image Fourier transform spectrometry data taken at Picatinny Arsenal in New Jersey with the long-wave hyperspectral camera manufactured by the Telops company. The first part of the article disc
Publikováno v:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII.
It is well known that disturbed grass covered surfaces show variability with view and illumination conditions. A good example is a grass field in a soccer stadium that shows stripes indicating in which direction the grass was mowed. These spatial var
Publikováno v:
SPIE Proceedings.
One of the areas where augmented reality will have an impact is in the visualization of 3-D data. 3-D data has traditionally been viewed on a 2-D screen, which has limited its utility. Augmented reality head-mounted displays, such as the Microsoft Ho
Publikováno v:
SPIE Proceedings.
We continue to highlight the pattern recognition challenges associated with solid target spectral variability in the longwave infrared (LWIR) region of the electromagnetic spectrum for a persistent imaging experiment. The experiment focused on the co
Autor:
Christoph C. Borel
Publikováno v:
International Journal of Remote Sensing. 29:5029-5045
In hyperspectral thermal data analysis, temperature-emissivity separation (TES) has the same function as reflectance retrieval in the visible and shortwave infrared. The problem, however, is more complicated because, in the thermal infrared (TIR), th
Publikováno v:
SPIE Proceedings.
We give updates on a persistent imaging experiment dataset, being considered for public release in a foreseeable future, and present additional observations analyzing a subset of the dataset. The experiment is a long-term collaborative effort among t
Autor:
Christoph C. Borel
Publikováno v:
Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment.
The ARTEMISS (Automatic Retrieval of Temperature and Emissivity using Spectral Smoothness) method was developed over the last 13 years to retrieve temperature, emissivity and associated uncertainties from data collected with hyper-spectral imaging sp
Autor:
Amy E. Galbraith, P.J. Claassen, William B. Clodius, P.G. Weber, M. Ballard, Barham W. Smith, William H. Atkins, J.L. Rienstra, Steven C. Bender, Bryan E. Laubscher, Terrence S. Lomheim, Bradly J. Cooke, J.L. Vampola, Christoph C. Borel
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 43:1950-1963
We present an analysis methodology that offers efficient characterization of the Multispectral Thermal Imager (MTI) electro-optic system response to a wide range of user-specified system parameters and spectral scenarios. This methodology combines ph
Autor:
Christoph C. Borel, G. Hodges, John A. Augustine, Steven C. Bender, Anthony B. Davis, Petr Chylek
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 1:175-178
We investigate the effect of broken clouds on the satellite-based retrieval of columnar water vapor using a near-infrared radiance ratio technique. A typical difference between the retrieval using only pixels directly illuminated by the Sun and pixel