Satellite image processing

ALOK KUMAR SAMANTARAYB.Sc. In ELECTRONICS & TELECOMMUNICATION6th SEMESTERRoll No:-2010ETC040

GUIDED BY:-BHUPEN KANUNGO

SATELLITE IMAGE PROCESSING

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• 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.

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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SATELLITE IMAGERY

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The resolution of the sensor defines the pixel size and the detail and accuracy.

SATELLITE IMAGERY

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.

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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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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IMAGE ALGEBRA: 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


c:-constant

i:-row index

j:-column index

k:-single band

IMAGE ALGEBRA: 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



c:-constant

i:-row index

j:-column index

k:-single band

METHODOLOGY FOR CHANGE DETECTION OF REMOTE SENSING

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IMAGE SEGMENTATIONIMAGE SEGMENTATION

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.

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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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.

SATELLITE IMAGE OPERATORSSATELLITE 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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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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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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FEATURES OF GOOGLE MAPS

NavigationSearch in plain EnglishSearch by voiceTraffic viewSatellite viewStreet view

NavigationSearch in plain EnglishSearch by voiceTraffic viewSatellite viewStreet view

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• 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.

APPLICATIONAPPLICATION

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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Education

Satellite image processing