This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding.
... feed forward neural networks (FFNN), radial basis functions neural networks (RBFNN), and exact design radial basis functions (RBFNNE) neural networks were used for building calibration ... Two HSI setups were used, one ranging from 400 to ...
... two arrays of halogen lamps , each with a power of 35W . The sample stage on the stepper motor control Lab scanner pushes forward for imaging at a speed of 24.70mm / s and acquires spatial and spectral information of one row of data at ...
... feed - forward neural network that predicts the text rotation angle . The method has been tested off - line with ... Based Algorithm for 3D Multispectral Scanning Applied to. 4. Garding , J .: Shape from texture and contour by weak ...
This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related ...
... based clustering general discussion, 2: 594 genetic algorithms (GAs), 2: 594 simulated annealing (SA), 2: 596 Tabu ... calibration algorithm classification, 3: 93f, 3: 94 basic concepts, 3: 97, 3: 98f constituent classification, 3 ...
This book is essential for researchers working across related fields including: multi-dimensional data compression, multispectral and hyperspectral data archives, remote sensing, scientific image processing, military and aerospace image ...
... two - dimensional wave equation [ c64 A99-26094 ] Measurements of two ... based infrared interferometer [ c19 A99-26516 ) SPACEBORNE EXPERIMENTS ... feed applying Genetic Algorithms and graphical processing techniques [ c32 A99 ...
Pharmaceutical granulate mixtures are the examples used. This book is intended for both an audience new to multivariate image analysis as well as to those who are already using image analysis techniques.
... neural network classifiers with probabilistic outputs. In Fischler, M. A. and Firschein, O., editors, Neural Information Processing Systems, pages 1109–1116. MIT Press. Prokop, R. J. and Reeves, A. P. (1992). A survey of moment-based ...