普拉赛德编写的《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。

普拉赛德编写的《光学遥感信号处理与开发技术》(影印版)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。《光学遥感信号处理与开发技术》(影印版)适合相关专业的高年级本科生及研究生阅读。

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