last quiz_image processing Flashcards
the process of identifying objects or conditions in images and determining their meaning or significance.
Image Interpretation
is needed to relate the visible characteristics on the image to the real-world geographical features, even though some of these features may not be physically visible.
Geographical knowledge
refers to the general form, configuration, or outline of individual objects. The shape of some objects is so distinctive that their images may be identified solely from this criterion.
shape
_______ of objects on photographs must be considered in the context of the photo scale
size
relates to the spatial arrangement of objects. The repetition of certain general forms or relationships is characteristic of many objects, both natural and constructed
Pattern
is the frequency of tonal change on the photographic image. It determines the overall visual smoothness or coarseness of image features.
Texture
refers to the relative brightness or colour of objects on photographs. Without tonal differences, the shapes, patterns, and textures of objects could not be discerned.
Tone
is the frequency of tonal change on the photographic image. It determines the overall visual smoothness or coarseness of image features.
Shadows
refers to topographic or geographic location and is a particularly important aid in the identification of land cover types.
Site and Association
refers to the occurrence of certain features in relation to others.
Site and Association
The process of categorizing numerous amounts of data into a desired number of “themes” or classes using a set of attribute similarities
Image Classification
In an images, the pixels are being classified and the values for each band are used as attributes to classify each pixel
Image Classification
________________ is a method which examines a large number of unknown pixels and divides them into a number of classed based on natural groupings present in the image values. unlike supervised classification, unsupervised classification does not require analyst-specified training data.
Unsupervised classification
we identify sample pixels in an image that belong to certain classes. These are called “training sites”. The image processing software system is then used to develop a statistical or non-statistical characterization of the reflectance for each information class.
Supervised