With citations and refferences explain what the term association mean in digital image iterpretation?

In digital image interpretation, the term association refers to the relationship between different elements or features within an image. This relationship can be based on various factors such as spatial proximity, similarity in appearance, or functional connection.

One common use of association in digital image interpretation is in the context of object recognition and classification. For example, in a satellite image of a city, buildings, roads, and vegetation may be associated based on their spatial proximity and relative positions. This association can help in identifying and classifying different objects within the image.

Another use of association in digital image interpretation is in the context of image segmentation, where the goal is to partition an image into meaningful regions or objects. Association can be used to group together pixels or regions that share similar characteristics, such as color, texture, or shape.

References:

1. Gonzalez, R.C., Woods, R.E., Eddins, S.L. Digital Image Processing Using MATLAB. Gatesmark Publishing, 2009.

2. Haralick, R.M., Shapiro, L.G. Computer and Robot Vision. Addison-Wesley, 1992.

Association in digital image interpretation refers to the relationship between two or more objects or features in an image. It can be used to identify patterns, structures, and relationships within the image.

Citations and References:

- American Society for Photogrammetry and Remote Sensing (ASPRS). (2014). -Manual of Photogrammetry, 5th Edition-. Bethesda, MD: ASPRS.
- Jensen, J. R. (2015). -Remote Sensing of the Environment: An Earth Resource Perspective, 3rd Edition-. Upper Saddle River, NJ: Pearson Prentice Hall.
- Lillesand, T. M., & Kiefer, R. W. (2015). -Remote Sensing and Image Interpretation, 7th Edition-. Hoboken, NJ: John Wiley & Sons.