ALGORITHMS AND TECHNIQUES FOR URBAN ATTRIBUTE EXTRACTION - Urban Remote Sensing: Monitoring, Synthesis and Modeling in the Urban Environment - page 86

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ALGORITHMS AND
TECHNIQUES FOR
URBAN ATTRIBUTE
EXTRACTION
Developing improved image processing algorithms and techniques for working with different types of remote sensor data is an
important research area in urban remote sensing. Part III (Chs 7 - 11) reviews some of the most exciting developments in this aspect.
The first three chapters within Part III are dedicated to a set of image processing techniques that can be used to improve urban mapping
performance at per-pixel, subpixel, or object level. Chapter 7 discusses some algorithmic parameters affecting the performance of
artificial neural networks in image classification at per-pixel level. Chapter 8 reviews the spectral mixture analysis (SMA) technique
that allows the decomposition of each pixel into independent endmembers or pure materials to map urban sub-pixel composition.
Chapter 9 provides an overview on the principles of object-based image analysis (OBIA) and demonstrates how the OBIA can be
applied to achieve satisfactory urban mapping accuracy. The last two chapters included in Part III deal with two important aspects for
urban mapping: image fusion technique (Ch. 10) and temporal lag between urban structure and function (Ch. 11).