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Erschienen in:

2013 | OriginalPaper | Buchkapitel

Digital Image Processing: Post-processing and Data Integration

verfasst von : Prof. Siamak Khorram, Ph.D., Prof. Stacy Nelson, Ph.D., Dr. Halil Cakir, Ph.D., Dr. Cynthia Van Der Wiele, Ph.D.

Erschienen in: Handbook of Satellite Applications

Verlag: Springer New York

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Abstract

The main objective of this chapter is to focus on the digital image processing, post-processing, and data integration techniques as applied to remotely sensed data for the purpose of extracting useful earth resources information. Image preprocessing and data reduction tools are described in the previous chapter. The concepts discussed in this chapter include:

Image processing techniques such as unsupervised image classifications, supervised image classifications, neural network classifiers, simulated annealing classifiers, and fuzzy logic classification systems
The most widely accepted indices and land use/land cover classification schemes
Post-processing techniques such as filtering and change detection
Accuracy assessment and validation of results
Data integration and spatial modeling including examples of integration of remotely sensed data with other conventional survey and map form data for Earth observation purposes

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Titel: Digital Image Processing: Post-processing and Data Integration
verfasst von: Prof. Siamak Khorram, Ph.D.
Prof. Stacy Nelson, Ph.D.
Dr. Halil Cakir, Ph.D.
Dr. Cynthia Van Der Wiele, Ph.D.
Verlag: Springer New York
Buch: Handbook of Satellite Applications
Print ISBN: 978-1-4419-7670-3

Electronic ISBN: 978-1-4419-7671-0

Copyright-Jahr: 2013
DOI: https://doi.org/10.1007/978-1-4419-7671-0_92

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