Satellite image processing

Satellite Image Processing technique to enhance raw images received from cameras or sensors placed on satellites, space probes and aircrafts or pictures taken in normal day to day life in various applications.

1. ALOK KUMAR SAMANTARAY
B.Sc. In ELECTRONICS & TELECOMMUNICATION
6th SEMESTER
Roll No:-2010ETC040
GUIDED BY:-BHUPEN KANUNGO
SATELLITE IMAGE
PROCESSING
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2. •Satellite Image Processing
•Satellite Imagery
•Remote Sensing
•Methodology of Change Detection in Remote Sensing
•Image Segmentation
•Satellite Image Operators
•Google Maps
•Features of Google Maps
•Applications
CONTENTS
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It is a technique to enhance raw images received from cameras or
sensors placed on satellites, space probes and aircrafts or pictures
taken in normal day to day life in various applications.

WHAT IS SATELLITE IMAGE PROCESSING?
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4. SATELLITE IMAGERY
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5. The resolution of the sensor defines the pixel size and the detail and
accuracy.
SATELLITE IMAGERYGU IDE BEY Y B GUIDE DIBYD Y DDDYY YIYDDY BD
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1.Spatial resolution :It is the area on ground represented by each
pixel
2.Temporal resolution : It tells how often a satellite obtaining
imagery of particular area.
3.Spectral resolution : It is the specific wavelength interval in
electromagnetic spectrum.
4.Radiometric resolution : It tells how the sensor changes brightness
of object . It’s range is expressed as power of 2^n.
5.View angle resolution: Number of angles at which ground objects
are recorded.
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6. Remote sensors are devices that sense energy from remote
location.
•Remote sensing is the science of acquiring , processing and
interpreting information or data collected by remote sensors.
•This technology is very useful to capture condition of surface
ground with high resolution and direct visual assessment
suffered regions.
•In 2004 tsumani was assessed by IKONOS and Quickbird
information resources.
REMOTE SENSING
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It identifies the amount of change between pre and post event images.
D(i,j,k)=BV(i,j,k)[1]-BV(i,j,k)[2]+c
where
D(i, j,k ):-change pixel value
BV(i,j,k)[1]:-brightness value at time1
BV(i,j,k)[2]:-brightness value at time2
c:-constant
i:-row index
j:-column index
k:-single band
METHODOLOGY FOR CHANGE DETECTION OF REMOTE
SENSING
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Image segmentation is the appropriate
strategy to acquire image objects.
It divides an image into spatially continuous ,
disjoint and homogeneous regions on the
basis of homogeneity and these regions are
referred to as IOs.
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9. Arithmetic operators: addition,subtraction,multiplication,division ,
exponent,compliment and negation.
•Spatial transformation:blurring,convolution,
•sharpening and filtering.
Edge,line and spot detection performs gradient transformation.
Colour conversion operator:Transform the image from one color model to
another color model.
Geometric transformation:rotation,scale and wrap.
Forward and inverse fourier transformation.U!!"G"#UG$%&U$&
SATELLITE IMAGE OPERATORS
1.Arithmetic operators: Addition ,subtraction ,multiplication , division ,
exponent , compliment and negation.
2.Spatial transformation:Blurring,sharpening and filtering.
3.Edge , line and spot detection performs gradient transformation.
4.Colour conversion operator:Transform the image from one color model
to another color model.
5.Geometric transformation: Rotation , scale and wrap.
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10. GOOGLE MAPS
A web mapping service application and
technology provided by google that powers
many map based services.
Provides high resolution aerial or satellite
images for most urban areas.
Download Map Area: Enables the user to
download the basic road map. It can download
up to 26 sq.km from the spot.
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11. Various governments have complained that the terrorist attacks are planned using
satellite images so google has blurred some areas for security like U.S.Naval Base
and White House.
According to 2012 survey it has provided voice guidance and live traffic
information in cities of Bengaluru, Mumbai, New Delhi, Chennai, Pune and
Hyderabad.
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12. FEATURES OF GOOGLE MAPSG
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Navigation
Search in plain English
Search by voice
Traffic view
Satellite view
Street view
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13. •The realtime processing of satellite images on grid
architectures could reveal geographic and environmental
information. e.g., soil,vegetation,water-depth and air.
•EMAN -a bio-imagining workflow application.
•Pegasus-mapping engine of dataflow.
•Geoeye 1-satellite launched in 2008 has highest resolution .
•EROS satellites are light weight,has high resolution and
high performance.
•Meteo-sat 2 is a geostationary weather satellite.GUUIDEG DBY
APPLICATION
Satellite imaging is prevelant in many consumer apps today .e.g. google
maps,google earth , GPS cars.
The real time processing of satellite images on grid architectures could
reveal geographic and environmental information. e.g., soil,vegetation,
water-depth and air.
Pegasus-mapping engine of dataflow.
Geoeye 1-satellite launched in 2008 has highest resolution .
EROS satellites are light weight,has high resolution and high
performance.
Meteo-sat 2 is a geostationary weather satellite.
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