Which of the following is applied in the Image Enhancement procedure of digital image interpretation?

Correct option is C

Spatial feature manipulation is applied during the image enhancement process to emphasize or modify specific features of an image for better interpretation. This technique adjusts the spatial characteristics of the image, such as brightness, contrast, or sharpness, to make important features more visually distinguishable. It is commonly used in digital image interpretation for applications like remote sensing, medical imaging, and object detection.

Information Booster:

1. Spatial feature manipulation enhances image interpretability by emphasizing critical details.
2. It includes methods like histogram equalization, edge enhancement, and contrast stretching.
3. This process is vital for analyzing images in fields such as GIS, medical diagnostics, and surveillance.
4. It does not alter the inherent data but makes it easier for analysts to interpret.
5. Spatial feature manipulation works in tandem with radiometric and geometric corrections for comprehensive preprocessing.
6. It is particularly useful in improving the quality of low-resolution or noisy images.

Additional Knowledge:

(a) Radiometric Correction: Adjusts pixel values to correct for atmospheric effects, lighting conditions, and sensor errors. While crucial for preprocessing, it is not specific to spatial feature manipulation.

(b) Geometric Correction: Corrects spatial distortions in an image caused by the sensor's perspective or Earth's curvature. It is essential for accurate spatial analysis but does not directly enhance spatial features.

(d) Noise Removal: Removes unwanted random variations in an image to improve clarity. Though related to enhancement, it is more of a cleaning process rather than direct feature manipulation.