Satellite Image Classification - A Guided Clustering Approach

Shahzad, Naeem; Iqbal, Sajid; Daud, Asim

ISBN 10: 3659454931 / ISBN 13: 9783659454936

Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013

About this Item

Print on Demand pp. 52 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Seller Inventory # 131126145

Bibliographic Details

• Title: Satellite Image Classification - A Guided Clustering Approach
• Publisher: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG
• Publication Date: 2013
• Language: English
• ISBN 10: 3659454931
• ISBN 13: 9783659454936
• Binding: Soft cover
• Condition: New

About this title

Synopsis

In supervised classification of remotely sensed imagery the analysts require a plenty of time for generating the representative signatures of the possible land-cover classes present in the image. Although the notion of picking a large number of input signatures leads to more efficient results but in most of the situations the time is an important factor. To save the lavish time, besides to obtain the reliable results, is the requirement of most of the analysts. In this study the results of supervised classification are used as reference for checking the reliability of the results obtained with guided clustering technique as this technique is based on ground truth data and the ancillary information.

About the Author

Naeem Shahzad, MPhil: Studied Geomatics from University of the Punjab, Lahore, Pakistan. Remote Sensing Specialist at World Wide Fund for Nature - Pakistan.