PET and PVC Separation with Hyperspectral Imagery
نویسندگان
چکیده
منابع مشابه
PET and PVC Separation with Hyperspectral Imagery
Traditional plants for plastic separation in homogeneous products employ material physical properties (for instance density). Due to the small intervals of variability of different polymer properties, the output quality may not be adequate. Sensing technologies based on hyperspectral imaging have been introduced in order to classify materials and to increase the quality of recycled products, wh...
متن کاملPET and PVC separation with hyperspectral imaging
The proper design of a product life cycle may contribute both to the optimization of primary raw material usage and to the reduction of waste environmental impacts. Recycling may enter the life cycle of products in the contexts of production of secondary raw materials and reduction of waste extensive disposal in landfills. Tradition plants for plastic separation in homogeneous products employ m...
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High dimensional source vectors, such as occur in hyperspectral imagery, are partitioned into a number of subvectors of (possibly) different length and then each subvector is vector quantized (VQ) individually with an appropriate codebook. A locally adaptive partitioning algorithm is introduced that performs comparably in this application to a more expensive globally optimal one that employs dy...
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A method is presented for sub-pixel mapping and classification in hyperspectral imagery, using learned blockstructured discriminative dictionaries, where each block is adapted and optimized to represent a material in a compact and sparse manner. The spectral pixels are modeled by linear combinations of subspaces defined by the learned dictionary atoms, allowing for linear mixture analysis. This...
متن کاملLearning Discriminative Sparse Models for Source Separation and Mapping of Hyperspectral Imagery
A method is presented for sub-pixel mapping and classification in hyperspectral imagery, using learned blockstructured discriminative dictionaries, where each block is adapted and optimized to represent a material in a compact and sparse manner. The spectral pixels are modeled by linear combinations of subspaces defined by the learned dictionary atoms, allowing for linear mixture analysis. This...
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ژورنال
عنوان ژورنال: Sensors
سال: 2015
ISSN: 1424-8220
DOI: 10.3390/s150102205