Satellite image analysis using a grapics package Page 3 of 4 The majority of graphics programmes will allow images to be enhanced, which will aid the process of visual interpretation. The list below are examples of the different processes that can be experimented with to produce clearer images. Click on the links (which will open a new browser window) and contrast the altered image to the original. Can the different features be identified with greater ease? Brightness and Contrast Highlight/Midtone/Shadow Stretch and Equalize are two options which stretch an image according to a predetermined mathematical transformation, both of which ensure that an operator does not waste time experimenting with the contrast of a particular image. Equalize Digital Filtering Edge Sharpen Composite Generation The human brain is not designed to interpret separate data sets in the way a computer can and we find an image more appealing and of more use if it exists as a coloured image. A colour composite image is created by combining individual black and white images of different wavelengths.   A false colour composite is an image where the colours do not correspond with those that would be seen by the human eye. This false colour image was created by projecting the green range in the blue, the red range in the green and the near infrared range in the red. Have a close look at the false colour composite image and suggest why these results are likely to be helpful in the interpretation of the image. Try and interpret the image yourself and then have a look at the next page and see if your interpretation is similar to ours. | 1 | 2 | 3 | 4 | Page 3 of 4