Title :
Toward specification-driven change detection
Author :
Smits, Paul C. ; Annoni, Alessandro
Author_Institution :
Space Appl. Inst., Eur. Comm., Ispra, Italy
fDate :
5/1/2000 12:00:00 AM
Abstract :
A change-detection methodology based on explicit user requirements in terms of example imagery and false alarm and misclassification probabilities is discussed and applied. A distance measure between texture features is defined, and its ability is illustrated to measure changes in urban areas in high resolution, panchromatic, spaceborne images
Keywords :
image classification; image texture; probability; remote sensing; distance measure; explicit user requirements; false alarm probabilities; high resolution panchromatic spaceborne images; imagery; misclassification probabilities; specification-driven change detection; texture features; urban areas; Adaptive optics; Area measurement; Image analysis; Image resolution; Optical distortion; Optical sensors; Remote sensing; Satellites; Sensor phenomena and characterization; Urban areas;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
