Add to ORKGContextual classifiers are being developed to exploit spatial/spectral con-tent of a pixel to achieve hiqqer classi-fication accuracy. Contextual classifica-tion requires large amounts of computation, so special hardware is of value. One parallel processing system designed for image processing is the CDC Flexible Processor Array, the basis for the discussion in this paper. A simulator for the CDC Flexible Processor Array has been developed for program testing, debug-ging and timing. The simulated timings are presented in this paper. For compari-son, the same algorithms have been run on a PDP-II/70. These timings are analyzed and discussed for context neighborhoods of size three and nine. I
A 192 x 124 pixel CMOS image sensor with pixel-parallel computational architecture enables video rat...
In this work, we introduce a novel method for recognizing a discriminative object at a very high spe...
The most common method for labeling multispectral image data classifies each pixel entirely on the b...
Contextual classifiers are being developed as a method to exploit the spatial/spectral context of a ...
Contextual classifiers are being developed as a method to exploit the spatial/spectral context of a ...
Contextual classifiers are being developed as a method to exploit the spatial/spectral context of a ...
Contextual classifiers are being developed as a method to exploit the spatial/spectral context of a ...
This thesis studies some of the practical and theoretical issues arising in the supervised contextua...
Classifiers are often used to produce land cover maps from multispectral Earth observation imagery. ...
The research work focuses on the development of a volumetric context-dependent classification techni...
In this paper we present an innovative and high performance embedded system for real-time pattern ma...
The cost of off-chip memory access (in bandwidth, time and energy consumption) has become a major co...
Parallel processing of remotely sensed hyperspectral imagery: full-pixel versus mixed-pixel classifi...
Local parallel processes are a very efficient way of using contextual information in a very large cl...
With recently advances in technology (hardware and software) there is an interest of humanity in hav...
A 192 x 124 pixel CMOS image sensor with pixel-parallel computational architecture enables video rat...
In this work, we introduce a novel method for recognizing a discriminative object at a very high spe...
The most common method for labeling multispectral image data classifies each pixel entirely on the b...
Contextual classifiers are being developed as a method to exploit the spatial/spectral context of a ...
Contextual classifiers are being developed as a method to exploit the spatial/spectral context of a ...
Contextual classifiers are being developed as a method to exploit the spatial/spectral context of a ...
Contextual classifiers are being developed as a method to exploit the spatial/spectral context of a ...
This thesis studies some of the practical and theoretical issues arising in the supervised contextua...
Classifiers are often used to produce land cover maps from multispectral Earth observation imagery. ...
The research work focuses on the development of a volumetric context-dependent classification techni...
In this paper we present an innovative and high performance embedded system for real-time pattern ma...
The cost of off-chip memory access (in bandwidth, time and energy consumption) has become a major co...
Parallel processing of remotely sensed hyperspectral imagery: full-pixel versus mixed-pixel classifi...
Local parallel processes are a very efficient way of using contextual information in a very large cl...
With recently advances in technology (hardware and software) there is an interest of humanity in hav...
A 192 x 124 pixel CMOS image sensor with pixel-parallel computational architecture enables video rat...
In this work, we introduce a novel method for recognizing a discriminative object at a very high spe...
The most common method for labeling multispectral image data classifies each pixel entirely on the b...