Digital Image Processing Tutorial- Image Interpretation Part-II
Image
interpretation
The main objective of image interpretation is to
create information in the form of thematic maps.
A thematic map can be prepared by categorizing all pixels of the image into classes or
themes to generate map from the remote sensing data. One
can take different theme based on field of study, for example one can create
- Land use/land cover map based on mapping different categories such as water, forest, range land, urban etc.
- Mapping and quantification of surface water bodies/ water resources.
- Geological map based on identification of landforms, rock types, folds, faults and fractures.
- Urban change detection maps using multi date remote sensing data.
Below
steps followed for Image Interpretation-
Classification
- Assign objects to classes
- Detection, recognition, identification.
- Interpreter confidence is ranked as possible, probable
Measurement
Uses
image scale to derive measurements such as length with distance and volume
Delineation
Demarcation
of regions
To
start and understand process of image interpretation, it is essential to
understand elements/key of image interpretation. These elements help expertise/user
to interpret objects in better way both qualitative and quantitative.
An
image interpretation is process which includes image reading, image measurement
and image analysis.
Image measurements include extraction of quantitative properties such as length, location, height, density etc from satellite images.
Elements/Keys of image interpretation
During
image interpretation, numbers of characteristics are employed to detect and identify
object on satellite image/aerial photographs. Usually in our daily life
exposure to earth surface object can help to identify objects.
Based on
personal experience about earth surface feature such as size, shape, color etc. can
facilitate user to understand, identify and recognize objects both in
qualitative and quantitative way.
Identifying objects using these image
elements on remotely sensed images (Satellite Image/Aerial Photographs) can facilitate
user to further interpret and analyze.
Image
analysis requires explicit recognition of nine elements of image interpretation that form the framework and understanding of an image
- Size
- Shape
- Shadow
- Tone/Color
- Texture
- Pattern
- Height & depth
- Site/Situation
- Association
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