What are the Four types of image resolution

1. What are the Four types of
image resolution

2. INTRODUCTION
• Remote sensing: is the collection of information
relating to objects without being in physical
contact with the object (Abdurrahman 2010)
• Remote sensing is the process of acquiring data
or information about substances not in direct
contact with the sensor, by gathering its inputs
using electromagnetic radiation or acoustical
waves that are from the target of interest

3. Introduction cont..
• Sensor – is the device that detects and
responds to some type of input from physical
environment, the specific input could be light,
heat, motion, moisture, pressure or any other
environmental phenomena (Channel 1999)
• Resolution is the term used to describe the
number of dots or pixels used to display an
image.

4. Introduction cont..
• High resolution means that more pixels are
used to create the image resulting in cleaner
image.
• Low resolution means that fewer pixels are
used to create the image resulting in less
cleaner image.
• This display is indicated by a number of
combinations such as 800 X 600.

5. TYPES OF RESOLUTION
• Spatial resolution: this is the ability of the
sensor to record distinctively clear image of
smallest object on the earth’s surface.
• It describes the ability of a sensor to identify
the smallest size detail of a pattern on an
image.

6. spatial cont..

7. Spatial cont..
• That is the first image has low spatial
resolution in which smallest object cannot
clearly seen while the second image has a high
spatial resolution in smallest object to be seen
clearly.

8. Spectral resolution
• Spectral resolution is the sensitivity of a
sensor to respond to a specific frequency
range
• The frequency ranges covered often include
not only visible light but also non-visible light
and electromagnetic radiation.

9. Spectral cont..
• High spectral resolution means that the
sensor distinguishes between very narrow
bands of wavelength.
• low spectral resolution means the sensor
records the energy in a wide band of
wavelengths as a single measurement.

10. Spectral cont..

11. Spectral cont..
• Color film is individually sensitive to the
reflected energy at the blue, green, and red
wavelengths of the spectrum.
• Color film has higher spectral resolution when
compared to black and white film.(Reddy,
2001)

12. Radiometric Resolution
• Refers to the ability of a sensor to detect
differences in energy magnitude. Sensors with
low radiometric resolution are able to detect
only relatively large differences in the amount
of energy received, sensors with high
radiometric resolution are able to detect
relatively small differences in the amount of
energy received.

13. Radiometric cont..
• Radiometric resolution is the sensitivity of a
sensor system to differentiate signal strength
as weak or strong radiation in micro and
macro radiation in the electromagnetic
spectrum (EMS), it is determined by the
frequency band (Hz).

14. Radiometric cont..
2-bit image 8-bit image

15. Radiometric cont..
• By comparing a 2-bit image with an 8-bit
image, one can see that there is a large
difference in the level of discernible details.
• The more sensitive a sensor is to the
reflectance of an object as compared to its
surroundings, the smaller an object that can
be detected and identified.

16. Temporal Resolution
• Temporal Resolution is the frequency at which
data is captured for a specific place on the
earth. The more frequently they are captured,
the better or finer is the temporal resolution.
• The ability to collect imagery of the same area
of the Earth's surface at different periods of
time is one of the most important elements for
applying remote sensing data.

17. Temporal cont..
• For example, during the growing season, most
species of vegetation are in a continual state
of change and our ability to monitor those
subtle changes using remote sensing is
dependent on when and how frequently we
collect imagery.

18. Conclusion
• The resolution gives accuracy to the images
and it is important to the image because it
gives well, clear and observable objects on the
image, also higher resolution of the image can
help to analyze and interpret details of the
image for the best information.