Welcome to the InfoSci Platform
Object-Based Land Cover Classification Using Multisensor Remote Sensing Data

Object-Based Land Cover Classification Using Multisensor Remote Sensing Data

Rubeena Vohra, Kailash Chandra Tiwari
Copyright: © 2022 |Pages: 22
ISBN13: 9781799883319|ISBN10: 1799883310|ISBN13 Softcover: 9781799883326|EISBN13: 9781799883333
DOI: 10.4018/978-1-7998-8331-9.ch002
Cite Chapter Cite Chapter

MLA

Vohra, Rubeena, and Kailash Chandra Tiwari. "Object-Based Land Cover Classification Using Multisensor Remote Sensing Data." Addressing Environmental Challenges Through Spatial Planning, edited by Athar Hussain, et al., IGI Global, 2022, pp. 20-41. https://doi.org/10.4018/978-1-7998-8331-9.ch002

APA

Vohra, R. & Tiwari, K. C. (2022). Object-Based Land Cover Classification Using Multisensor Remote Sensing Data. In A. Hussain, K. Tiwari, & A. Gupta (Eds.), Addressing Environmental Challenges Through Spatial Planning (pp. 20-41). IGI Global. https://doi.org/10.4018/978-1-7998-8331-9.ch002

Chicago

Vohra, Rubeena, and Kailash Chandra Tiwari. "Object-Based Land Cover Classification Using Multisensor Remote Sensing Data." In Addressing Environmental Challenges Through Spatial Planning, edited by Athar Hussain, Kailash Chandra Tiwari, and Alpana Gupta, 20-41. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8331-9.ch002

Export Reference

Mendeley
Favorite

Abstract

The goal of this chapter is to demonstrate the classification of natural and man-made objects from multisensory remote sensing data. The spectral and spatial features play an important role in extracting the information of natural and man-made objects. The classification accuracy may be enhanced by fusion technique applied on feature knowledge database. A significantly different approach has been devised using spatial as well as spectral features from multisensory data, and the classified results are enhanced by majority voting fusion technique. The author concludes by presenting extensive discussion at each level and has envisaged the potential use of multisensory data for object-based land cover classification.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.