midterm2 Flashcards
5 paths
1 sun to target to sensor 2sun to sky to sensor 3sun to sky to earth to sensor 4 sun earth (not target) to sensor 5 sun to earth (not target) to target to sensor
advantage of remote sensing as regards sampling methods
can remove sampling bias
4 step remote sensing process
statement of problem–data collection–data to info conversion–info presentation
examples of collateral data
digital elevation models, soil maps, surficial geology maps, population density, etc.
limitations of remote sensing
human method-produced error, cost
factors affecting what is sensed
-wavelength,
-location and size of picture element,
temporal info
-set of angles
-polarization of back-scattered energy
-radiometric resolution (precision)
columns
j, x-axis (vertical)
rows
i, y-axis (horizontal)
types of remote sensing systems (name 4)
- linear array “pushbroom”
- linear array “whiskbroom” (uses rotating mirror)
- hyperspectral area array (using dispersing element)
- digital frame camera
pros and cons of linear array “pushbroom”
each individual sensor has more time to collect light, but because there are a line of sensors being used, each sensor may be recording data differently.
pros and cons of linear array “whiskbroom”
pro: information is consistant because only one sensor is used for every pixel. con: lots of moving parts that can wear out
type of array used by hyperspectral sensors
pushbroom (row of sensors, moved only by flight path)
2 graphical interfaces for digital image processing
ERDAS (ENVI, ER Mapper)
ERSI (ArcGIS)
image equalization
spreads out the most frequent intensity values in order to increase the global contrast
linear stretching
In any satellite image, the possible pixel values are in the range of 0 to 255. In practice however, not all these values will occur in your images. Suppose you have a certain image in which the values range from 55 to 103. When this map is stretched linearly to output range 0 to 255: the minimum input value 55 is brought to output value 0, and maximum input value 103 is brought to output value 255, and all other values in between change accordingly (using the same formula). As 0 is by default displayed in black, and 255 in white, the contrast will be better when the image is displayed.