Biologically-inspired data decorrelation for hyper-spectral imaging
نویسندگان
چکیده
منابع مشابه
Biologically-inspired data decorrelation for hyper-spectral imaging
Hyper-spectral data allows the construction of more robust statistical models to sample the material properties than the standard tri-chromatic color representation. However, because of the large dimensionality and complexity of the hyper-spectral data, the extraction of robust features (image descriptors) is not a trivial issue. Thus, to facilitate efficient feature extraction, decorrelation t...
متن کاملBiologically Inspired Methods for Imaging, Cognition, Vision, and Intelligence
State-of-the-art image analysis and pattern recognition techniques have been successfully applied to a wide variety of industrial fields such as medical imaging, remote sensing, and biometrics, as well as methods for machine learning, computer vision, and visualization. However, the current methods of image analysis, computer vision, and artificial intelligence cannot achieve the performance of...
متن کاملA Biologically-Inspired Data-Centric Communication Protocol for Sensor Networks
z adaptive to diverse and dynamically changing characteristics of applications and networks z the area of region and the number of sensor nodes z the type of communications one-to-one，one-to-many，many-to-one，many-to-many
متن کاملModular Hyper Instrument Design using Biologically Inspired Generative Computation for Real Time Gestural Interaction
Contemporary computing enables calculation of complex generative algorith-mic processes in real time. This facilitates the integration of biologically inspired generation into interactive interfaces requiring immediate and creative responses. Hyper instrument design is the augmentation of acoustic instrument performance. This chapter describes a model for enhancing traditional instrumental perf...
متن کاملColour Constancy from Hyper-Spectral Data
This paper aims for color constant identification of object colors through the analysis of spectral color data. New computational color models are proposed which are not only invariant to illumination variations (color constancy) but also robust to a change in viewpoint and object geometry (color invariance). Color constancy and invariance is achieved by spectral imaging using a white reference...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2011
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2011-66