last quiz_image processing Flashcards

1
Q

the process of identifying objects or conditions in images and determining their meaning or significance.

A

Image Interpretation

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2
Q

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.

A

Geographical knowledge

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3
Q

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.

A

shape

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4
Q

_______ of objects on photographs must be considered in the context of the photo scale

A

size

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5
Q

relates to the spatial arrangement of objects. The repetition of certain general forms or relationships is characteristic of many objects, both natural and constructed

A

Pattern

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5
Q

is the frequency of tonal change on the photographic image. It determines the overall visual smoothness or coarseness of image features.

A

Texture

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6
Q

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.

A

Tone

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7
Q

is the frequency of tonal change on the photographic image. It determines the overall visual smoothness or coarseness of image features.

A

Shadows

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7
Q

refers to topographic or geographic location and is a particularly important aid in the identification of land cover types.

A

Site and Association

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8
Q

refers to the occurrence of certain features in relation to others.

A

Site and Association

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9
Q

The process of categorizing numerous amounts of data into a desired number of “themes” or classes using a set of attribute similarities

A

Image Classification

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10
Q

In an images, the pixels are being classified and the values for each band are used as attributes to classify each pixel

A

Image Classification

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11
Q

________________ 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.

A

Unsupervised classification

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12
Q

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.

A

Supervised

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13
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A
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