| 《光学遥感信号处理与开发技术》（影印版）是国外电子信息精品著作，共分14个部分，主要介绍了当前最先进的算法，用来解决在分析光学遥感数据时遇到的问题，如预处理图像、储存和表示高维数据、模式分类、目标识别以及高位图像的可视化等。 |
| Introduction Saurabh Prasad, Lori M. Bruce and Jocelyn Chanussot Byperspeetral Data Compression Tradeoff Emmanuel Christophe Reconstructions from Compressive Random Projections of Hyperspectral Imagery James E. Fowler and Qian Du Integrated Sensing and Processing for Hyperspeetrai Imagery Robert Muise and Abhijit Mahalanobis Color Science and Engineering for the Display of Remote Sensing Images Maya R. Gupta and Nasiha Hrustemovic An Evaluation of Visualization Techniques for Remotely Sensed Hyperspectral Imagery Shangshu Cai, Robert Moorhead and Qian Du A Divide-and-Conquer Paradigm for Hyperspectral Classification and Target Recognition Saurabh Prasad and Loft M. Bruce The Evolution of the Morphological Profile: from Panchromatic to Hyperspectral Images Mauro DaUa Mura, Jon Atli Benediktsson, Jocelyn Chanussot and Lorenzo Bruzzone Decision Fusion of Multiple Classifiers for Vegetation Mapping and Monitoring Applications by Means of Hyperspectral Data Karoly Livius Bakos, Prashanth Reddy Marpu and Paolo Gamba A Review of Kernel Methods in Remote Sensing Data Analysis Luis G6mez-Chova, Jordi Mufioz-Maff, Valero Laparra, Jestis Maio-L6pez and Gustavo Camps-Vails Exploring Nonlinear Manifold Learning for Classification of Hyperspectral Data Melba M. Crawford, Li Ma and Wonkook Kim Recent Developments in Endmember Extraction and Spectral Unmixing Antonio Plaza, Gabriel Martfn, Javier Plaza, Maciel Zortea and Sergio Sanchez Change Detection in VHR Multispectral Images: Estimation and Reduction of Registration Noise Effects Lorenzo Bruzzone, Silvia Marchesi and Francesca Bovolo Effects of the Spatial Enhancement of Hyperspectral Images on the Distribution of Spectral Classes Andrea Garzelli and Luca Capobianco Fusion of Optical and SAR Data for Seismic Vulnerability Mapping of Buildings Diego Polli and Fabio Dell'Acqua |
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