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Digital Image Analysis Of Yell

Digital Image Analysis of Yellowstone National Park

Introduction
Remote sensing refers to the tele-observational surveying and mapping of physical, urban and environmental features. Remote Sensing is also a composite of many other subjects such as aerial photography, radar surveying, thermal surveying, weather forecasting and photogrammetry. It has now become quite common practice to use remotely sensed data to take inventory, monitor and develop effective management practices of our natural resources.

Objective
It is the purpose of this paper to further enhance the understanding of remotely sensed data in such a way that we may assist the human brain in the extraction and interpretation of this data through digital image analysis data manipulation techniques, such as rectification, enhancement and classification. The application of conventional and non-conventional image enhancement /classification procedures will be applied to an area of The Old Faithful section of the North Fork forest fire within Yellowstone National Park as it existed on September 8, 1988. They will also be applied to Nile Delta region of Egypt.

Conventional technology in the context of this paper refers to imagery that is uni-dimensional, that is, it has only one spectral band available for analysis. The term non-conventional will refer to imagery that has multi bands available for manipulation and analysis.

Methods of enhancement utilized in the multi-band portion of this project include:
- colour and histogram image enhancement
- normalization and image algebra enhancement
- filtering image enhancement
- band transformations (eigen pictures) image enhancement
- coventional methods of enhancement

Methods of classification utilized in this project include:
- signature training ( sampling)
- supervised classification, PPD, Mindis, Maximumlikliehood
- unsupervised classification, histogram equalization, clustering

Methods of enhancement...