Satellite image processing
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The document discusses satellite image processing, detailing techniques for enhancing images from satellites and remote sensing, including resolution types and image segmentation. It describes various satellite image operators and Google Maps features, highlighting how these technologies assist in navigation and environmental assessment. Applications such as real-time processing of satellite images are also explored, emphasizing their use in consumer apps and geographic information retrieval.
![METHODOLOGY FOR CHANGE DETECTION OF REMOTE
SENSING
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
BV(i,j,k)[2]:-brightness value at time2
c:-constant
i:-row index
j:-column index
k:-single band
7](https://image.slidesharecdn.com/satelliteimageprocessing-140203132955-phpapp02/85/Satellite-image-processing-7-320.jpg)
Satellite image processing
- 1. SATELLITE IMAGE PROCESSING GUIDED BY:-BHUPEN KANUNGO ALOK KUMAR SAMANTARAY B.Sc. In ELECTRONICS & TELECOMMUNICATION 6th SEMESTER Roll No:-2010ETC040 1
- 2. CONTENTS ā¢ ā¢ ā¢ ā¢ ā¢ ā¢ ā¢ ā¢ ā¢ 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 2
- 3. WHAT IS SATELLITE IMAGE PROCESSING? 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. 3
- 5. SATELLITE IMAGERY The resolution of the sensor defines the pixel size and the detail and accuracy. 1. 1. 2. 2. 3. 3. 4. 4. 5. 5. Spatial resolution :It is the area on ground represented by each Spatial resolution :It is the area on ground represented by each pixel pixel Temporal resolution :: It tells how often a satellite obtaining Temporal resolution It tells how often a satellite obtaining imagery of particular area. imagery of particular area. Spectral resolution :: It is the specific wavelength interval in Spectral resolution It is the specific wavelength interval in electromagnetic spectrum. electromagnetic spectrum. Radiometric resolution :: It tells how the sensor changes brightness Radiometric resolution It tells how the sensor changes brightness of object .. Itās range is expressed as power of 2^n. of object Itās range is expressed as power of 2^n. View angle resolution: Number of angles at which ground objects View angle resolution: Number of angles at which ground objects are recorded. are recorded. 5
- 6. REMOTE SENSING Remote sensors are devices that sense energy from remote location. ā¢ Remote sensing is the science of acquiring , processing and interpreting information or data collected by remote sensors. ā¢ This technology is very useful to capture condition of surface ground with high resolution and direct visual assessment suffered regions. ā¢ In 2004 tsumani was assessed by IKONOS and Quickbird information resources. 6
- 7. METHODOLOGY FOR CHANGE DETECTION OF REMOTE SENSING 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 BV(i,j,k)[2]:-brightness value at time2 c:-constant i:-row index j:-column index k:-single band 7
- 8. Image segmentation is the appropriate Image segmentation is the appropriate strategy to acquire image objects. strategy to acquire image objects. It divides an image into spatially continuous , , It divides an image into spatially continuous disjoint and homogeneous regions on the disjoint and homogeneous regions on the basis of homogeneity and these regions are basis of homogeneity and these regions are referred to as IOs. referred to as IOs. IMAGE SEGMENTATION IMAGE SEGMENTATION 8
- 9. SATELLITE IMAGE OPERATORS SATELLITE IMAGE OPERATORS Arithmetic operators: addition,subtraction,multiplication,division , exponent,compliment and negation. ā¢ Spatial transformation:blurring,convolution, ā¢ 1.Arithmetic and filtering. sharpening operators: Addition ,subtraction ,multiplication , division , exponent , compliment and negation. Edge,line and spot detection performs gradient transformation. 2.Spatial transformation:Blurring,sharpening and filtering. Colour conversion operator:Transform the image from one color model to 3.Edge , line and spot detection performs gradient transformation. another color model. 4.Colour conversion operator:Transform the image from one color model Geometric transformation:rotation,scale and wrap. to another color model. 5.Geometric transformation: Rotation , scale and wrap. Forward and inverse fourier transformation . 9
- 10. GOOGLE MAPS ļ±A web mapping service application and technology provided by google that powers many map based services. ļ±Provides high resolution aerial or satellite images for most urban areas. ļ±Download Map Area: Enables the user to download the basic road map. It can download up to 26 sq.km from the spot. 10
- 11. ļ±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. ļ±According to 2012 survey it has provided voice guidance and live traffic information in cities of Bengaluru, Mumbai, New Delhi, Chennai, Pune and Hyderabad. 11
- 12. FEATURES OF GOOGLE MAPS ļ±Navigation ļ±Navigation ļ±Search in plain English ļ±Search in plain English ļ±Search by voice ļ±Search by voice ļ±Traffic view ļ±Traffic view ļ±Satellite view ļ±Satellite view ļ±Street view ļ±Street view 12
- 13. APPLICATION APPLICATION ā¢ The realtime processing of satellite images on grid architectures could reveal geographic and environmental ļ±Satellite imaging soil,vegetation,water-depth and google information. e.g., is prevelant in many consumer apps today .e.g.air. maps,google earth , GPS cars. ā¢ EMAN -a bio-imagining workflow application. ļ±The real time processing of satellite images on grid architectures could ā¢ Pegasus-mapping engine of dataflow. e.g., soil,vegetation, reveal geographic and environmental information. water-depth and air. ā¢ Geoeye 1-satellite launched in 2008 has highest resolution . ļ± ā¢ EROSPegasus-mapping engine of dataflow. highest resolution . satellites are light weight,has ļ±Geoeye 1-satellite launched in 2008 has high resolution and high performance. light weight,has high resolution and high ļ±EROS satellites are ā¢ Meteo-sat 2 is a geostationary weather satellite. performance. ļ±Meteo-sat 2 is a geostationary weather satellite. 13
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