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Pixel-oriented analysis. Object-oriented analysis. Remote Sensing classifications. Pixel-oriented limitations. Problems when dealing with rich information. Inappropriate scale of work. Inaccurate with elements of similar spectral behaviour (ex.: habitats). Salt and pepper effect. - PowerPoint PPT Presentation
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Remote Sensing classifications
Pixel-oriented analysisObject-oriented analysis
Pixel-oriented limitations
Salt and pepper effect
Inappropriate scale of work
Problems when dealing with rich information
Inaccurate with elements of similar spectral behaviour (ex.: habitats)
Important semantic information, necessary to
interpret an image, is not represented in single
PIXELS, but in meaningful OBJECTS ,
and their mutual relationships
Object-oriented approach
Which kind of structure can be seen in here?
color stadistics
shape & size
texture
context
Procces characteristics
Object parameters
Allows scale definition
Segmentation
Classification
Hierarchical system
Different scales
Multi source data fusion
Image
Multi-resolution segmentation
Classification
Analysis workflow
Segmented layer
Classified layer
multispectral image (2.8 m, color)
Example
Pancromatic image (0.7m, b/w)
Tematic information Multi-source data fusion
ObjectiveObjective: To study an urban settlement in Madrid (Spain)
by means of remote sensing .
Segmentation
Example
Example
Hierarchical classification
Example
Hierarchical classification
Example
Hierarchical classification
Example
Hierarchical classification
Correct identification of roads, paths, houses, back-gardens, pools...