| 定價： | ￥ 65 | ||
| 作者： | Saurabh Prasad、Lori M.Bruce、Jocelyn Chanussot | ||
| 出版： | 科學出版社 | ||
| 書號： | 9787030344755 | ||
| 語言： | 英文原版 | ||
| 日期： | 2012-06-01 | ||
| 版次： | 1 | 頁數(shù)： | 352 |
| 開本： | 16開 | 查看： | 0次 |
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 | 400-711-6699 | 滿29至69元，免運費！ | ￥48.8 |  |
光學遙感信號處理與開發(fā)技術介紹了當前最先進的算法，用來解決在分析光學遙感數(shù)據(jù)時遇到的問題，如預處理圖像、儲存和表示高維數(shù)據(jù)、模式分類、目標識別以及高位圖像的可視化等。光學遙感信號處理與開發(fā)技術適合相關專業(yè)的高年級本科生及研究生閱讀。
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
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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