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Nowadays very large archives of digital images can be easily produced thanks to the availability of digital cameras as standalone devices, or embedded into a number of portable devices. Each personal computer is typically a repository for thousands of images, while the Internet can be seen as a very large repository. One of the most severe problems in the classification and retrieval of images from...
This paper represents a currency recognition system using ensemble neural network (ENN). The individual neural networks (NN) in an ENN are trained via negative correlation learning. The object of using negative correlation learning (NCL) is to expertise the individuals in an ensemble on different parts or portion of input patterns. The available currencies in the market consist of new, old and noisy...
Download bandwidth is often a limiting factor in the remote sensing image acquisition chain. An onboard image quality assessment system could optimise use of available downlink time by prioritising high quality images for download. An image quality assessment model was developed based on 3 degradation features: cloud cover, additive noise and the defocus extent of the telescope. For training data...
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