Prior to the advent of digital sensors and digital image processing techniques, information was extracted from images by humans using image interpretation. An expert image interpreter developed his/her skill set over many years, based on experience in the subject matter of interest, familiarity with the geographic region of interest, and an understanding of the working of the remote sensing system used to create the imagery being interpreted. In today's environment of digital image analysis, the professional image analyst must not forget the importance of these three areas of essential knowledge, in addition to mastery of the powerful and complex tools provided in digital image analysis software. The basics of image interpretation introduced in this lesson set the stage for the following lessons in automating the extraction of features from remotely sensed data.
At the end of this lesson you will be able to:
- define the elements of image interpretation;
- interpret remotely sensed data using the elements of image interpretation;
- construct an image interpretation key.
If you have any questions now or at any point during this week, please feel free to post them to the Lesson 3 Questions and Comments Discussion Forum in Canvas.