Talk:Image classification
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==Article draft== | ==Article draft== | ||
'''Image classification''' covers a group of methods used to convert | '''Image classification''' covers a group of methods used to convert | ||
| − | remotely sensed images in a manner that makes different thematic | + | remotely sensed images in a manner that makes different ''thematic classes'', |
| − | classes, e.g. forest, water or settlement areas, easier to recognize. | + | e.g. forest, water or settlement areas, easier to recognize. |
| + | The basic concept is the identification of pixels with similar characteristica, | ||
| + | and the aggregation of these pixels to ''classes''. | ||
| + | Of course, this assumed ''similarity'' hase to be carefully defined. It is | ||
| + | based on the ''spectral signature'' of the respective class, usually the | ||
| + | combination of [[brightness value|brightness values]] of the pixels on different | ||
| + | bands. | ||
===Unsupervised classification=== | ===Unsupervised classification=== | ||
Revision as of 16:00, 24 June 2013
Contents |
Article discussion
- This section is meant solely for discussion purposes.
For a pre-version of the article, see #Article draft.
- This section is meant solely for discussion purposes.
Article draft
Image classification covers a group of methods used to convert remotely sensed images in a manner that makes different thematic classes, e.g. forest, water or settlement areas, easier to recognize.
The basic concept is the identification of pixels with similar characteristica, and the aggregation of these pixels to classes. Of course, this assumed similarity hase to be carefully defined. It is based on the spectral signature of the respective class, usually the combination of brightness values of the pixels on different bands.
