《光學遙感信號處理與開發技術》是2012年科學出版社出版的圖書，作者是Saurabh Prasad。
基本介紹
- 中文名：光學遙感信號處理與開發技術
- 作者：Saurabh Prasad
- 出版時間：2012年06月
- 出版社：科學出版社
- 頁數：352 頁
- ISBN：9787030344755
- 定價：65 元
內容簡介,編輯推薦,圖書目錄,
內容簡介
《國外電子信息精品著作:光學遙感多拳信號處理與開發技術(影印版)》介紹了當前最先進的算法，用來解決在分析光學遙感數據時淋和符遇到的問題，如預處理圖像、儲存和表示高戀姜府維數據、模式分類、目標識別以及高多和精船點陣圖像的可視化等。《國市主匙外電子信息精品著作:光學遙感信號處理與開發技術(影印版)》適合相關專業的高年級本科生及研究生閱讀。
編輯推薦
本書是國外電子信息精品著作，共分14個部分，主要介紹了當前***的算法，用多恥道漿來解決在分析光學遙員她只感數據時遇到的問題，如預處理圖像、儲存和表示高維數據、模式分類、目標識別以及高點陣圖像的可視化等。
圖書目錄
Introduction Saurabh Prasad,Lori M. Bruce and Jocelyn Chanussot
Hyperspectral Data Compression Tradeotff Emmanuel Christophe
Reconstructions from Compressive Random Projectionsof Hyperspectral Imagery James E Fowler and Qian Du
Integrated Sensing and Processing for Hyperspectral 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 Lori M. Bruce
The Evolution of the Morphological Profile: from Panchromatic to Hyperspectral Images Mauro Dalla Mura,Jon Atli Benediktsson,Jocelyn Chanussot and Lorenzo Bruzzone
Decision Fusion of Mlultiple Classifiers for Vegetation Mlapping and Monitoring Applications by Means of Hyperspectral Data Karoly Livius Bakos,Prashanth Reddy Marpu and Paolo
A Review of Kernel Methods in Remote Sensing Data Analysis Luis Gómez-Chova,Jordi Mu?oz-Marí,Valero Laparra,Jesús Malo-López and Gustavo Camps-Valls
Exploring Nonlinear Manifold Learning for Classification of Hyperspectral Data Melba M. Crawford,Li Ma and W onkook Kim
Recent Developments in Endmember Extraction and Spectral Unmixing Antonio Plaza,Gabriel Martín,Javier Plaza，M1:aciel Zortea and
Change Detection in VHR Multispectral Images: Estimation and Reduction of Registration Noise Etfects Lorenzo Bruzzone,Silvia Marchesi and Francesca Bovolo
Etfects of the Spatial Enhancement of Hyperspectral Images on the Distribution of Spectral Classes Andrea Garzelli and Luca Capobianco
A Review of Kernel Methods in Remote Sensing Data Analysis Luis Gómez-Chova,Jordi Mu?oz-Marí,Valero Laparra,Jesús Malo-López and Gustavo Camps-Valls
Exploring Nonlinear Manifold Learning for Classification of Hyperspectral Data Melba M. Crawford,Li Ma and W onkook Kim
Recent Developments in Endmember Extraction and Spectral Unmixing Antonio Plaza,Gabriel Martín,Javier Plaza，M1:aciel Zortea and
Change Detection in VHR Multispectral Images: Estimation and Reduction of Registration Noise Etfects Lorenzo Bruzzone,Silvia Marchesi and Francesca Bovolo
Etfects of the Spatial Enhancement of Hyperspectral Images on the Distribution of Spectral Classes Andrea Garzelli and Luca Capobianco
