In this lecture, we will demonstrate the application of image registration by aligning one image to another. This process is essential for removing geometric distortions in remote sensing and geographic information systems (GIS). Our example involves registering two Landsat multispectral scanner images of northern Sydney, Australia, acquired in 1979 and 1980.
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Key Topics Covered:
 Introduction to Image Registration: Learn the importance of image registration
and its applications.
 Choosing Control Points: Understand the criteria for selecting ground control points (GCPs) that ensure accurate registration.
 Geometric and Radiometric Differences: Explore the differences in brightness and geometry between images, focusing on near-infrared bands.
 Using Mapping Polynomials: Learn how to apply third-order mapping polynomials and cubic convolution resampling for precise registration.
 Evaluating Registration Accuracy: Assess the success of registration using visual techniques like color blending to highlight geometric alignment.
 Impact of Control Point Distribution: Discover how the distribution of control points affects the registration outcome, using examples of well-distributed and
poorly distributed GCPs.
 Extrapolation of Mapping Polynomials: Compare the behaviour of first order and higher-order polynomials in fitting and extrapolating data points.
 Practical Tips: Gain practical advice on choosing techniques, scales, and methodologies for effective image registration.
By the end of this lecture, you will have a comprehensive understanding of how to
perform image registration using control points, ensuring accurate geometric
correction and alignment of remote sensing images.
If you found this video helpful, please like, share, and subscribe for more tutorials on
GIS and remote sensing!
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