Image Processor Design Requirements In Land-Use Planning

Edward C. Driscoll Jr.

doi:10.1117/12.932595

23 July 1982 Image Processor Design Requirements In Land-Use Planning

Edward C. Driscoll Jr.

Proceedings Volume 0301, Design of Digital Image Processing Systems; (1982) https://doi.org/10.1117/12.932595
Event: 25th Annual Technical Symposium, 1981, San Diego, United States

Abstract

Computer-aided landuse planning can be broken into two important phases. These two phases, which I will refer to as Data Collection and Modeling, make separate demands on the architecture of the image processor. The first phase involves the creation of large geographic databases containing a wide variety of geographic variables. Figure 1 (2) shows an example of such a database, created to model growth and impacts on a suburban region south of Poston, Massachusetts. Each entry on the list refers to a data "element", a complete map of the distribution of that variable. Some data elements are continuously varying numeric values (e.g., topographic elevation); other elements contain purely nominal values (e.g., vegetation type) where each value refers to a specific type. The major feature that each element in the database has in common with the others is that they all are registered in space or contain the information necessary to effect such registration quickly. The sources for each data element vary. Some are digitally produced and therefore available in digital form; others are compiled by hand and drawn manually or with a digital plotter. Many have to be laboriously digitized. Continuous variables are often digitized in a gridded form, while discrete, homogeneous variables are typically digitized in some sort of polygon form where only the boundaries between regions are stored. This second type of digitization and storage method appeals to cartographers and substantial research(l) is being devoted to the processing of such data, but this paper will only address it when it must be converted to gridded form for processing.

Citation Download Citation

Edward C. Driscoll Jr. "Image Processor Design Requirements In Land-Use Planning", Proc. SPIE 0301, Design of Digital Image Processing Systems, (23 July 1982); https://doi.org/10.1117/12.932595

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KEYWORDS

Image processing

Data modeling

Databases

Digital image processing

Data processing

Earth observing sensors

Systems modeling

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