Last edited by Arat
Tuesday, July 21, 2020 | History

10 edition of Multispectral image analysis using the object-oriented paradigm found in the catalog.

Multispectral image analysis using the object-oriented paradigm

by Kumar Navulur

  • 309 Want to read
  • 40 Currently reading

Published by CRC Press/Taylor & Francis in Boca Raton .
Written in English

    Subjects:
  • Image analysis,
  • Remote sensing,
  • Object-oriented methods (Computer science)

  • Edition Notes

    Includes bibliographical references (p. 151-153) and index.

    StatementKumar Navulur.
    Classifications
    LC ClassificationsTA1637 .N37 2007
    The Physical Object
    Pagination165 p., [24] p. of plates :
    Number of Pages165
    ID Numbers
    Open LibraryOL17844063M
    ISBN 101420043064
    ISBN 109781420043068
    LC Control Number2006021814

    Free Online Library: Fundamentals of fluid mechanics, 5th ed.(Brief Article, Book Review) by "SciTech Book News"; Publishing industry Library and information science Science and technology, general Books Book . The amount of scientific literature on (Geographic) Object-based Image Analysis – GEOBIA has been and still is sharply increasing. These approaches to analysing imagery have antecedents in earlier research on image segmentation and use GIS-like spatial analysis within classification and feature extraction fixdemocracynow.com by:

    Dec 18,  · Kumar is the author of the book Multispectral Image Analysis Using the Object-Oriented Paradigm. He served as the adjunct professor at University of Denver as well as University of Colorado, where he advises doctoral students on their dissertations. The object-oriented classification was completed using the eCognition Developer 9 software. The first step in the object-oriented classification was to segment the SPOT imagery into homogenous units. Details on the theory and background of the image segmentation process can Author: Ali Alghamdi, Anthony R. Cummings.

    Comparison of Object Oriented Classification Techniques and Standard Image Analysis for the use of Change Detection between SPOT Multispectral Satellite Images and Aerial Photos. in. The other is the use of object-oriented classification for change detection using aerial photos combined with SPOT multispectral data. The until now critical. Remote sensing techniques have been shown effective for large-scale damagesurveys after a hazardous event in both near real-time or post-event analyses. The paperaims to compare accuracy of common imaging processing techniques to detect tornadodamage tracks from Landsat TM data. We employed the direct change detection approachusing two sets of images acquired before and after the tornado event Cited by:


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Multispectral image analysis using the object-oriented paradigm by Kumar Navulur Download PDF EPUB FB2

Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm reviews the current image analysis methods.

Oct 13,  · Multispectral Image Analysis Using the Object-Oriented Paradigm (Remote Sensing Applications Series) [Kumar Navulur] on fixdemocracynow.com *FREE* shipping on qualifying offers. Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach.

Featuring various practical examples to provide understanding of 4/5(1). Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach. Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm rev.

Oct 13,  · Multispectral Image Analysis Using the Object-Oriented Paradigm (Remote Sensing Applications Series) - Kindle edition by Kumar Navulur. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Multispectral Image Analysis Using the Object-Oriented Paradigm (Remote Sensing Applications 4/4(1).

Dec 05,  · Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach.

Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm reviews the current image analysis methods and demonsCited by: Get this from a library.

Multispectral image analysis using the object-oriented paradigm. [Kumar Navulur] -- "Bring a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach. Featuring various practical examples to provide. Home Browse by Title Books Multispectral Image Analysis Using the Object-Oriented Paradigm.

Multispectral Image Analysis Using the Object-Oriented Paradigm December December Read More. Author: Kumar Navulur; Publisher: CRC Press, Inc. Subs. of Times Mirror Corporate Blvd. NW Boca Raton, FL. Multispectral Image Analysis Using the Object-Oriented Paradigm.

Author: Kumar Navulur: Publication: · Book: Multispectral Image Analysis Using the Object-Oriented Paradigm: CRC Press, Inc. Boca Raton, Book Bibliometrics · Citation Count: 6 · Downloads (cumulative): n/a · Downloads (12 Months): n/a · Downloads (6 Weeks): n/a Cited by: Multispectral Image Analysis Using the Object-Oriented Paradigm.

DOI link for Multispectral Image Analysis Using the Object-Oriented Paradigm. Multispectral Image Analysis Using the Object-Oriented Paradigm book.

Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm reviews the current image analysis methods and demonstrates advantages to improve information extraction from imagery.

Nov 12,  · Do you want to remove all your recent searches. All recent searches will be deleted. Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach.

Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm. Kumar Navulur is the author of Multispectral Image Analysis Using the Object-Oriented Paradigm [With DVD-ROM] ( avg rating, 2 ratings, 0 reviews, pub /5(3).

Multispectral Image Analysis Using the Object-Oriented Paradigm的话题 · · · · · · (全部 条) 什么是话题 无论是一部作品、一个人,还是一件事,都往往可以衍生出许多不同的话题。. They concluded that the thematic mapping result using an object-oriented image analysis approach gave a much higher accuracy than that obtained using the per-pixel approach.

Gitas et al. () mapped recently burned areas on the Spanish Mediterranean fixdemocracynow.com by: The accompanying two CD-ROMs present sample data that enable the use of different approaches to problem solving. Integrating remote sensing techniques and GIS analysis, Multispectral Image Analysis Using the Object-Oriented Paradigm distills new tools to extract information from remotely sensed data.

We use cookies to make interactions with our website easy and meaningful, to better understand the use of our services, and to tailor advertising. Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach.

Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm reviews the current image analysis methods and demonstrates advantages to improve information.

Multispectral Image Analysis Using the Object-Oriented Paradigm 1st Edition. By Kumar Navulur. Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach.

Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery. Kim, M. Madden, T. Warner Object-oriented analysis of image and LiDAR data and its potential for a dasymetric mapping application This book discusses means, technologies and approaches related to the processing and.

Object-Oriented Classification of Sugarcane Using Time-Series Middle-Resolution Remote Sensing Data Based on AdaBoost. Navulur K. Multispectral image analysis using the object-oriented paradigm: CRC Press/Taylor&Francis, Boca Raton; Cited by: Aug 23,  · Object-based analysis offers new possibilities that may extend the role of remotely sensed data in complex mapping and assessment applications.

In this chapter, we will examine the object-based paradigm and review the fundamental aspects of image classification based on the analysis of image fixdemocracynow.com by: 2.Jun 13,  · Do you want to remove all your recent searches? All recent searches will be deleted.