Image Processing - Split the RGB channels in an Image, Study Guides, Projects, Research of Matlab skills

To separate the RGB components from the given input Image

Typology: Study Guides, Projects, Research

2019/2020

Uploaded on 10/05/2020

preethika-n-c
preethika-n-c 🇮🇳

5

(1)

1 document

1 / 9

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
TASK TITLE: Satellite Image
processing- Applications overview and
colour separation
Submitted by
Name: Preethika N C
Roll No: 181EC216
pf3
pf4
pf5
pf8
pf9

Partial preview of the text

Download Image Processing - Split the RGB channels in an Image and more Study Guides, Projects, Research Matlab skills in PDF only on Docsity!

TASK TITLE: Satellite Image

processing- Applications overview and

colour separation

Submitted by Name: Preethika N C Roll No: 181EC

APPLICATIONS OF SATELLITE IMAGE

PROCESSING:

OIL AND GAS:

Satellite symbolism joined with GIS can give venture administrators a fowl's eye perspective on oil and gas investigation and improvement activities and help in observing of creating fields without being available and upholds appraisal of offices, pipeline hallway arranging, crises and dangers which can uncover likely dangers for delicate regions. Satellite picture and GIS information gives understanding on the choice of zones to design 2D or 3D seismic reviews for an investigation penetrating system just as supporting during the time spent natural and operational wellbeing dangers to limit the HSE chances. Utilizing progressed satellite picture preparing shading adjusting procedures, and the right band mixes, Satellite Imaging Corporation can handle symbolism per customer prerequisites, advanced for the recognizable proof of determined territory and topographical highlights. These highlights are related to high goal 3D landscape representation gained by sound system satellite symbolism or LiDAR and saw in 3D territory perception conditions. MINING AND SATELLITE IMAGERY:

prepared photogeologists to decipher surface lithologies, distinguish dirt, oxides, and soil types from satellite symbolism. ENGINEERING AND CONSTRUCTION: Satellite pictures give a practical, exact and fast methods for getting speedy appraisal for any critical development or designing undertaking, e.g., airstrip, connect, dam, water, power plant, sewer, mechanical park, waterway and tempest utilities, and so on., Satellite Imaging Corporation's group has involvement with Geographic Information Systems (GIS), Global Positioning System (GPS) and is qualified in include extraction, control, and gives exact and orthorectified geo-referred to satellite picture information. Our orthorectified, geo-referred to satellite picture preparing and GIS planning administrations are a practical, precise, and fast strategy for imagining your undertaking from above. Also, our administrations are important while assessing and picking a building site. DEFENCE AND SECURITY: Satellite Imaging Corporation (SIC) gives geospatial items and administrations to government offices and safeguard temporary workers for different applications in guard and security planning. SIC has assembled a

notoriety on the quality and accuracy of the work we've conveyed. From the recovery of satellite imaging information to the last picture handling, we comprehend the requirement for perfect precision and picture quality for your planning and data necessities. Satellite symbolism and GIS maps boosts security programs which can empower neighbourhood governments to all the more likely survey and see how to create projects to spare lives, ensure property and upgrade the future monetary dependability of their networks. The flow dangers to a nation extend from episodes of psychological oppression and data assaults on basic foundation to the likely utilization of weapons of mass decimation and the spread of irresistible ailments. Every single one of these dangers could make huge losses and interruption a nation. SATELLITE IMAGERY FOR NATURAL RESOURCES: Satellite symbolism and GIS maps (Geographic Information Systems) can assume a significant function for regular assets including farming, ranger service and waterfront the board for appraisal and investigation. Satellite pictures can give spatial goals of up to 30 centimetres for better examination, appraisal and observing of our normal assets. This innovation can add to a wide cluster of worldwide change-related

AGRICULTURE DEVELOPMENT:

With expanding populace over the world and the requirement for expanded farming creation there is a sure requirement for appropriate administration of the world's rural resources. To get this going it is first important to get solid information on the sorts, yet in addition the quality, amount and area of these assets. Satellite symbolism and GIS (Geographic Information Systems) will consistently keep on being a huge factor in the improvement of the current frameworks of gaining and producing agrarian guides and asset information. Farming planning and studies are by and by directed all through the world, so as to accumulate data and insights on crops, go land, animals and other related rural resources. This data gathered is important for the usage of powerful administration choices. Rural study is required for arranging and portion of the restricted assets to various parts of the economy. TO SEPARATE THE RGB COLOUR COMPONENTS FROM THE INPUT BIT SATELLITE IMAGE: SOURCE CODE:

rgbImage = imread(' C:\Users\welcome\Downloads\Satellite Image 1.PNG '); redChannel = rgbImage(:,:,1); % Red channel greenChannel = rgbImage(:,:,2); % Green channel blueChannel = rgbImage(:,:,3); % Blue channel allBlack = zeros(size(rgbImage, 1), size(rgbImage, 2), 'uint8'); just_red = cat(3, redChannel, allBlack, allBlack); just_green = cat(3, allBlack, greenChannel, allBlack); just_blue = cat(3, allBlack, allBlack, blueChannel); recombinedRGBImage = cat(3, redChannel, greenChannel, blueChannel); subplot(3, 3, 2); imshow(rgbImage); fontSize = 20; title('Original RGB Image', 'FontSize', fontSize) subplot(3, 3, 4); imshow(just_red); title('Red Channel in Red', 'FontSize', fontSize) subplot(3, 3, 5); imshow(just_green) title('Green Channel in Green', 'FontSize', fontSize) subplot(3, 3, 6); imshow(just_blue); title('Blue Channel in Blue', 'FontSize', fontSize) subplot(3, 3, 8);