What is the focus of geometric correction in remote sensing?

Geometric correction in remote sensing primarily focuses on ensuring accurate georeferencing, which involves aligning the imagery with real-world coordinates. This process is crucial because remote sensing images can often be distorted due to factors such as sensor angle, the Earth's curvature, and variations in terrain. By performing geometric correction, remote sensing analysts can accurately map the data to known geographical locations, which is essential for comparative analysis, monitoring changes over time, and integrating with other geographic information systems.

In contrast, the other choices relate to different aspects of image processing or remote sensing applications. Removing unwanted objects pertains to image processing rather than geometric accuracy, enhancing image color involves adjusting the visual characteristics of an image without necessarily relating it to geographic coordinates, and tracking movement of objects focuses on dynamic analysis rather than the fundamental task of aligning images to real-world positions.