Rashed T., Jürgens C. (eds.) Remote Sensing of Urban and Suburban Areas

Springer, 2010. — 355 p.Kalman filter, particle filter, IMM, PDA, ITS, random sets. The number of useful object-tracking methods is exploding. But how are they related? How do they help track everything from aircraft, missiles and extra-terrestrial objects to people and lymphocyte cells? How can they be adapted to novel applications? Fundamentals of Object Tracking tells you how. Starting with the generic object-tracking problem, it outlines the generic Bayesian solution. It then shows systematically how to formulate the major tracking problems - maneuvering, multiobject, clutter, out-of-sequence sensors - within this Bayesian framework and how to derive the standard tracking solutions. This structured approach makes very complex object-tracking algorithms accessible to the growing number of users working on real-world tracking problems and supports them in designing their own tracking filters under their unique application constraints. The book concludes with a chapter on issues critical to successful implementation of tracking algorithms, such as track initialization and merging.Urban and Suburban Areas as a Research Topic for Remote Sensing
Theoretical Aspects
The Structure and Form of Urban Settlements
Defining Urban Areas
The Spectral Dimension in Urban Remote Sensing
The Spatial and Temporal Nature of Urban Objects
The V-I-S Model: Quantifying the Urban Environment
Techniques and Applications
A Survey of the Evolution of Remote Sensing Imaging Systems and Urban Remote Sensing Applications
Classification of Urban Areas: Inferring Land Use from the Interpretation of Land Cover
Processing Techniques for Hyperspectral Data
Segmentation and Object-Based Image Analysis
Data Fusion in Remote Sensing of Urban and Suburban Areas
Characterization and Monitoring of Urban/Peri-urban Ecological Function and Landscape Structure Using Satellite Dat
Remote Sensing of Desert Cities in Developing Countries
Remote Sensing of Urban Environmental Conditions
Remote Sensing of Urban Land Use Change in Developing Countries: An Example from Büyükçekmece, Istanbul, Turkey
Using Satellite Images in Policing Urban Environments
Using DMSP OLS Imagery to Characterize Urban Populations in Developed and Developing Countries