satellite image

18
Presented to:- Ms. Aparajita Ranjan Assistant professor Department of Civil Invertis University, Bareilly Presented by:- Prajjwal Paudel

Upload: prajjwal-paudel

Post on 02-Jul-2015

418 views

Category:

Engineering


6 download

TRANSCRIPT

Page 1: Satellite Image

Presented to:-Ms. Aparajita Ranjan Assistant professorDepartment of CivilInvertis University, Bareilly

Presented by:-Prajjwal Paudel

Page 2: Satellite Image

Contents

1. Introduction

2. Image Processing

3. Satellite Imagery

4. Image characteristics and format

5. Image Histogram

6. Examples of Satellite images

7. Introduction to image Rectification

8. Image Enhancement

9. Land cover and land use

10. Application of land use and remote sensing

11. Supervised classification

12. Application of Satellite Images

Page 3: Satellite Image

INTRODUCTION

Image processing is an action undertaken on the digital data to alter digital image using sophisticated software, e.g., ERDAS Imagine, Geomatica and ENVI. It involves a manipulation of the pixels in an original image to produce the new image.

Image processing is generally carried out to:-a) Improve the visual appearance of an image,

b) Prepare an image for measuring the features and structures present in it,

c) Remove noise and clean up an image,

d) Improve the contrast of an image,

e) highlight the elements with certain characteristics in an image,

f) Overcome distortions, and

g) Compensate for uneven illumination.

Page 4: Satellite Image

WHAT IS SATELLITE IMAGE PROCESSING 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.

4

Page 5: Satellite Image

SATELLITE IMAGERY

5

Page 6: Satellite Image

SATELLITE IMAGERY

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

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 2n.

5. View angle resolution: Number of angles at which ground objects are recorded.

Page 7: Satellite Image

IMAGE CHARACTERISTICS AND FORMAT

If we consider an image, we will notice that it consists of tiny equal areas or picture elements arranged in regular rows and columns. The position of any picture element or pixel is fixed with respect to the (X-Y) coordinate system. In many of the case you may not know the X-Y coordinate, in this case geo-referencing will be done by specifying reference point (tie point).

Page 8: Satellite Image

Image Histogram Leading to Contrast Modification

A histogram is a simple graph, in which the X-axis shows the brightness values from 0 to 255 (0 is black, 255 is bright white), and the Y-axis starts at 0 and increases upwardly, showing the total number of pixels corresponding to the brightness values 0 to 255. But for a color image, there will be three histograms, one each for red, green and blue band.

Page 9: Satellite Image

Satellite Image of Palm Island of Dubai

Page 10: Satellite Image

Satellite Image of Invertis University

Page 11: Satellite Image

INTRODUCATION TO IMAGE RECTIFICATION

An image recorded by an MMS (Multispectral Scanner) usually has some distortions, both radiometry and geometric. These distortions are caused by platform effects, sensor effects, scene effects, and atmospheric effects.

Image Rectification is a transformation process used to project two-or-more images onto a common image plane. It corrects image distortion by transforming the image into a standard coordinate system.

It is used b computer stereo vision to simplify the problem of finding matching points between images.

It is used in geographic information systems to merge images taken from multiple perspectives into a common map coordinate system.

Page 12: Satellite Image

IMAGE ENHANCEMENT

Enhancement is the modification of an image to alter its impact on the viewer. To carry out, the original digital values are changed.

Two types:-

a) One that uses individual pixels without without references to their spatial context, known as contrast modification, and

b) One that makes use of spatial information, referred to as spatial filtering.

Page 13: Satellite Image

LAND COVER AND LAND USE

Land cover correspond to the physical conditions of the ground surface. For e.g., forest, grassland, etc. It refers to features of land surface, which may be natural, semi-natural, managed or manmade. They are directly observable by a remote sensor.

But land use reflects human activities such as the use of land, for e.g. industrial zones, residential zones, agricultural fields, etc. It refers to activities on land or classification of land according to how it is used, such as residential, industrial, commercial, agricultural, recreational, urban, rural, etc. They are not always directly observable, inferences about land use can often be made from land cover.

Page 14: Satellite Image

LAND USE APPLICATIONS OF REMOTE SENSING

Natural resource management. Wildlife habitat protection. Baseline mapping for GIS input. Urban expansion/ encroachment. Routing and logistics planning for seismic/ exploration/

resource extraction activities. Damage delineation (tornadoes, flooding, volcanic, seismic,

fire and terrorist activities). Legal boundaries for tax and property evaluation. Target detection-identification of landing strips, roads,

clearings, bridges and land/water interface.

Page 15: Satellite Image

SUPERVISED CLASSIFICATION

In a supervised classification, independent information is utilized to define the training data. The latter are then used to establish the classification categories. The independent information may be:-

a) The spectral reflectance data and

b) A combination of fieldwork, analysis of aerial photographs, maps and experience.

Note:-The image analyst uses this data to choose the information categories.

Page 16: Satellite Image

APPLICATION

Satellite imaging is prevalent in many consumer apps today .e.g. googlemaps, 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. Geo-eye 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.

Page 17: Satellite Image

References

Google earth www.geomatica.como www.satelliteimages.com Course book www.slideshares.com

Page 18: Satellite Image

18