DEFINITION:
The Technique OfAcquiring Information About An Object By
Recording Device (sensor) I.E. Not In Physical Contact With The
Object By Measuring Portion Of Reflected Or Emitted
Electromagnetic Radiation From The Earth’s Surface.
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PRINCIPLE OF REMOTESENSING:
Different objects return (reflects or emits) different amount & kind of
energy in different bands of electromagnetic spectrum incident upon it.
This unique property depends on the structural, chemical, physical
properties of material & also surface roughness, angel of incidence,
intensity & wavelength of radiant energy.
RS is multidisciplinary science which includes optic, spectroscopic,
photography, computer science, electronics & telecommunication,
satellite tech. etc.
All these technologies are integrated to act as remote sensing.
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STAGES IN REMOTESENSING:
1. Energy source:
Emission of electromagnetic radiation or EMR
(sun/ self emission) .
2. Energy Interactions With Atmosphere:
Transmission of energy from the source to the
surface of the earth as well as ABSORPTION &
SCATTERING.
3. Interaction of EMR With the Earth Surface:
Reflection & emission transmitted or absorbed by
the surface.
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STAGES IN REMOTESENSING:
4. Recording of Energy by the Remote Sensor:
Sensor not in touch with the earth’s surface
5. Sensor Data Output:
Data transmission & reception.
6. Data (Image) Processing & Analysis:
Extraction of information @ the earth surface features.
7. Application :
Extracted information is utilized in decision making for
solving problems.
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TYPES OF RS
1.Based on source of energy
A) PASSIVE SENSORS:
Remote Sensing systems measuring the naturally
available energy ( Solar energy: either reflected or
absorbed) are called as Passive Sensors.
B) ACTIVE SENSORS:
Remote Sensing systems which provides their own
source of energy for illumination are known as
Active Sensors.
e.g. SLAR, SAR
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TYPES OF RS
2.Based on range of electromagnetic spectrum
A) OPTICAL RS:
RS of Visible, NIR,MIR 0.3 m--3m.
B) THERMAL RS:
RS of emitted radiation 3 m--5m. & 8 m--16m.
C) MICROWAVE RS:
RS in higher wavelength 1mm—1m
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ADVANTAGES OF RS
Synoptic View
Facilitates the study of various earth surface features in their
spatial relation to each other.
Helps to delineate the reqd. features & phenomenon.
Accessibility
Possible to gather information @ the area when
ground survey is not possible.
e.g. Mountainous areas & foreign areas.
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ADVANTAGES OF RS
Time conservation
Information @ the large area is gathered quickly saving time efforts of
human.
Multidisciplinary Applications
Remote Sensing data is processed & used in different disciplines like
• GEOLOGY
• FORESTRY
• LANDUSE
• AGRICULTURE
• DEFENCE
• URBAN PLANNING
• FISHERIES
• CIVIL ENGINEERING etc…
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B) PARTICLE THEORY.
Radiationconsists of electrical and
magnetic fields perpendicular to each
other, moving in wave pattern.
i) Wavelength ()
ii) Frequency ()
iii) Amplitude (A)
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ATMOSPHERIC WINDOWS
Theseare the regions in the electromagnetic
spectrum for which the atmosphere is transparent.
These wavelengths are easily transmitted through
atmosphere.
These are useful regions for remote sensing.
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Atmospheric (Absorption /Transmission) windows
0.3-0.4, 0.4-0.7, 0.7-3.0, 3.0-5.0, 8.0-14.0, 1.0cm-1.0m.
ERS : C 5.7 cm
JERS : L 23.5 cm
Atmospheric
Scattering
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INTERACTIONS OF ENERGYWITH THE EARTH
SURFACE
Radiation not absorbed or scattered in the atmosphere reaches &
interacts with the Earth’s surface.
Reflection :- Light is redirected as it strikes a non-transparent
surface.
Specular reflection – like mirror is undesirable in RS.
Diffused Reflection – If surface is rough relative to useful in RS.
Transmission & absorption – No reflection.
Earth’s emission :- Objects at temperature above 0o
emits radiations.
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REFLECTION CHARACTERISTICS OFEARTH
COVER
It may be qualified by measuring the portion of incident
energy that is reflected.
Vegetation : Red & Blue colors are absorbed.
Green & NIR are reflected.
Water : All radiation are absorbed.
Blue or Blue-Green colors are little reflected.
Soil : Depend on moisture, organic content, texture,
structure, iron oxide content etc.
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ORBITS OF REMOTE
SENSING
SATELLITE:
Satelliteis any object manmade or
natural that revolves around the earth
TYPES OF ORBITS:
•Low Earth Orbit (LEO) < 2000 km
•Medium Earth Orbit (MEO) 2000-35786 km
•High Earth Orbit (HEO) > 35786 km
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Low Earth Orbit:
Polarorbiting satellites:
•Satellite is pass above the earth
poles
•High resolution of images is
possible
•Crosses the equator at 90⁰
ORBITS OF REMOTE
SENSING
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Low Earth Orbit:
Polarorbiting satellites:
•The advantage is every time the satellite view the
newer segment on the earth surface because of
earth’s rotation
ORBITS OF REMOTE
SENSING
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Sun Synchronous Orbit
•Angle of inclination of the
orbit with respect to the sun
through out the year is same
• Always crosses the equator
precisely the same local sun
time
• Mostly used for remote
sensing
ORBITS OF REMOTE
SENSING
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Near polar orbit
•Orbitalplane inclined at
small angle with respect to
the earth rotational axis
ORBITS OF REMOTE SENSING
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High Earth Orbit
Geostationary orbit
•The satellite placed in this
orbit is stationary with
respect to the earth
•View the same area of the
earth at all times
•View 50% of global surface
(60⁰N to 60⁰S)
•Orbital period is 24 hours
ORBITS OF REMOTE
SENSING
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ORBITS OF REMOTE
SENSING
HighEarth Orbit Geo
stationary orbit Advantages:
•Useful for meteorological
observation
•And also for commercial
broadcast and
communication purpose
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ORBITS OF REMOTE
SENSING
HighEarth Orbit
Geo stationary orbit
Dis-Advantages:
Low Resolution
Approximately a pixel size of
2.5 km on the ground
Less information is obtained
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Choice of orbit:
•Itis dependent on the its mission
•Remote sensing satellites placed in LEO because it
needs high resolution
•Commercial broadcast or Communication satellites are
provided in HEO because it should receive and send
signals from large geographical are
ORBITS OF REMOTE
SENSING
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SATELLITES & SENSORS
PLATFORMS:
Platform is a stage to mount the camera or sensors to collect
information remotely about an object or surface.
e.g. GROUND
BALLOON
AIRCRAFT
SPACE CRAFT/
SATELLITE
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Types of platforms:
Ground based platforms
Short range systems(50-100 m) Medium Range Systems ( 150-
250 m) Long range Systems (up to 1 km)
Airborne platforms
Space-borne platforms
REMOTE SENSING
PLATFORMS
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REMOTE SENSING
PLATFORMS
Types ofplatforms :
Airborne Platforms:
Balloons based :
• Altitude range is 22-40 km
• Tool to probing the
atmosphere
• Useful to test the instruments
under development
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REMOTE SENSING
PLATFORMS
Types ofplatforms :
Airborne Platforms:
Radiosonde:
Measure pressure,
Temperature, Relative
humidity and in the
atmosphere
Rawinsonde:
Measure wind velocity,
temperature, presurre and
relative humidity
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REMOTE SENSING
PLATFORMS
Types ofplatforms :
Aircraft: Advantages:
•High spatial resolution (20 cm
or less)
•Analog photography is
possible (analog photo gives
high resolution)
• Easily change their schedule
to avoid weather problems
• Sensor maintenance and
repair is easy
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REMOTE SENSING
PLATFORMS
Types ofplatforms :
Aircraft:
Dis -Advantages:
•Permission to intrude into foreign airspace is
required
•Many passes to cover larger area
•Swath is much less compare to satellite
•High cost per unit area
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REMOTE SENSING PLATFORMS
Typesof platforms :
Space borne platforms:
•Sensors are mounted
on-board a spacecraft
•Rockets , satellites
and space shuttles
Advantages :
•Cover large area
•Repetitive coverage of
an area of interest
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REMOTE SENSING SENSORS
Sensor:
Common Definition :
• Sensors are Sophisticated devices that are
frequently used to detect and respond to
electrical or optical signals
• A Sensor converts the Physical parameter into a
signal which can be measured electrically
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REMOTE SENSING SENSORS
Sensor:
Definition in Remote Sensing :
•Sensor is a device that gathers energy (EMR)
converts into signal and present it into a signal and
present it in a form (image) suitable for obtaining
information about the objet under investigation
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REMOTE SENSING SENSORS
Typesof sensors :
Active sensors:
These sensors detect reflected responses from
objects which are irradiated from artificially
generated energy sources
Ex : Radar, camera with flash light Passive sensors:
These sensors detect reflected EMR
from natural source
Ex : camera without flash light (depends on solar
energy), and all RS sensors
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REMOTE SENSING SENSORS
Typesof sensors :
Non Scanning or Framing sensors:
Measure the radiation coming from entire scene at
once
Ex: Our eyes, Photo cameras
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REMOTE SENSING SENSORS
Typesof sensors :
Imaging sensors:
Form image by collected
radiation
1. Scanning sensors:
The scene is sensed by point
by point or measure the
radiation coming from point
by point (equivalent to small
areas with in the scene)
Along track Scanners:
Image is acquired by line by
line
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REMOTE SENSING SENSORS
Typesof sensors :
2. Non imaging sensors:
•These sensors do not form the image
•These are used to record spectral quantity or
parameter as a function of time
Ex: temperature measurement, study of
atmosphere
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REMOTE SENSING SENSORS
Typesof sensors :
Image Plane Scanning:
Lens is used after the
scan mirror to focus
the light on the
detector
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REMOTE SENSING SENSORS
Typesof sensors :
Object Plane Scanning: Lens is
placed before the scan mirror
to focus the light on the
detector
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CHARECTERISTICS OF
SENSORS
Spatial resolution
•Itrefers to the size of the
smallest possible object that
can be detected
•It depends on the
instantaneous Field of View
(IFOV) and the height of the
satellite orbit
•It tells the pixel size
on the ground surface
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Characteristics of Sensors
Spectralresolution
•It describes the ability of a sensor to define fine
wavelength ranges
•Sand is appear as coarser in finer
wavelength bands
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Characteristics of Sensors
Radiometricresolution
•It describes the abilityof sensor to
discriminate very slight differences in energy
•The number of brightness levels depends upon the
number of bits used
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CHARECTERISTICS OF SENSORS
Temporalresolution
It refers to how often it records imagery of a
particular area, which means the frequency
of repetitive coverage
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SATELLITE ORBIT
Pathfollowed by the satellite.
Geostationary satellite :-
1. Revolve at the speed matching the rotation of the
Earth( 24 hours ).
2. Located at very high altitudes about 36000Km.
3. Are put in the equatorial plane orbiting West to East.
4. One satellite can view one-third of the globe.
5. Used for weather monitoring & communication
(INSAT, V-Sat).
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SUN-SYNCHRONOUS SATELLITES
InclinedNorth-South orbit.
Inclination carries the satellite Westward.
Its track covers each area of the world at a Constant
time of the day (local sun time ).
Descending pass – day
Ascending pass – shadow ( night )
Payload of passive sensors.
Active sensors can acquire image in
ascending pass also.
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SWATH (Two DimensionalImage of
Earth Surface For An Area )
• As a satellite revolve around the Earth, the sensors see a certain portion of
Earth surface known as swath.
• For satellite images it is very wide between 10 -100 Km.
• The apparent Westward shift of satellite (due to Earth’s rotation ) allows
the satellite Swath to cover a new area with each pass.
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RESOLUTION
It refers tothe system’s ability to record & display fine details.
In RS there are four types of resolution,…
Spatial resolution
Spectral resolution
Radiometric resolution
Temporal resolution.
Spatial resolution :- The size of the smallest possible feature that can
be detected by the sensors.
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Spectral resolution:- It describes the ability of a sensors to define
fine wavelength intervals. Many RS systems record energy over
several separate wavelengths ranges at various spectral resolution.
These are multispectral scanners. Advanced multispectral sensors
detect hundreds of very narrow spectral bands through the
spectrum.
Radiometric resolution :- Every time an image is acquired on film
or by a sensor, its sensitivity to the magnitude of the
electromagnetic energy determines the radiometric resolution.
The radiometric resolution of an imaging system describes its
ability to discriminate very slight differences in the energy.
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Temporal resolution:- Temporal resolution refers to the frequency of
obtaining data over a given area. It is related to the revisit period or
repeativity.
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MULTISPECTRAL SCANNING
A scanningsystem that is useful to collect data over a range of
wavelengths is called MSS.
Across track scanning Along track scanning
scan lines ar
to scan lines Ilel
to
motion of system motion of system
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SATELLITE IN ORBITS
LANDSAT
NASA( National Aeronautic & Space Administration ) launched the
LANDSAT series. It is Land Observation Satellite Series.
RBV :- Return Beam vidicon.
MSS :- Multispectral scanner. Across track, 4 spectral band data
with 80 meters resolution & 6 bits radiometric resolution.
TM :- Thematic map per, 7 ban data for 6 bands, spatial
resolution of 30 metres & for thermal band, 120 metres,
ETM :- Enhanced Thematic map per, 8 band data.
Swath :- 185 Km.
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Spot Satellite
Altitude :-832 Km.
Revisit :- 26 days.
Payload :-
HRV – High resolution visible sensor.
i ) PAN mode 10 m,
i i ) MSS mode 20 m.
HRVIR – Spot 4 – 10 m resolution
VEGETATION – Spot 4 – 1.165 Km resolution.
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INDIAN REMOTE SENSINGSATELLITE
OBS.
NO.
MISSIONS SENSORS ALTITUDE
(Km)
REVISIT
(DAYS)
1.
IRS-1A
LISS – I
LISS – II
904 22
2. IRS-1B
LISS – I
LISS – II
904 22
3. IRS-1C
PAN
LISS–III
WIFS
817
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24
05
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Remote Sensing Satellitesand Sensors
Landsat : 1, 2, 4,5,7 : MSS : 2 VIS+2 NIR
3. MSS : 2 VIS+2 NIR+1TIR
Landsat 4,5,7 : Bands :1,2,3,4,5,7 VIS and NIR
Band 6 : TIR
IRS – 1A/1B-LISSI/II, 1C/1D-LISS-III
4 Bands : 2 VIS + 2 NIR
SPOT : MLA : 3 bands, PLA : 1 Band (PAN)
ERS Microwave SAR
JERS Microwave SAR
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SATELLITE DATA RECEPTIONTRANSMISSION &
PROCESSING
Three main options form transmitting data acquired by
the satellite to the surface.
Data can be directly transmitted to the earth if a Ground
Receiving Station (GRS) is in the line of sight of the
structure.
Data can be recorded on board the satellite for
transmission to a GRS at later time.
Data can also be relayed to the GRS through the TDRSS
( Tracking & Data Relay Satellite System ) which
contains series of Geosynchronous, communication
satellite .
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In India
GRS islocated at Shadnagar. NRSA ( National
Remote Sensing Agency ) acquires process, & distribute
the satellite data from Indian as well as other satellites.
Satellite (IRS,LANDSAT, SPOT, NOAA, IKONOS )
GRS ( Shadnagar – data in raw digital format )
NRSA (processing to correct errors & Convert to standard
format )
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DIGITAL IMAGE PROCESSING
i.e.manipulation of the images with the help of a computer
system.
Hardware software
monitor, ( categorization into
CPU three main functions)
secondary storage device 1. Image processing
( floppy disc drive, 2. Image enhancement
hard disc, scanners, etc) 3. Image classification
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IMAGE PROCESSING
Preliminary tothe main analysis :-
Removal of error introduced in the imaging.
Processes are designed to recognize &
compensate for ,…
Errors
Noise
Geometric distortions,
introduced into the data during the scanning,
transmission & recording processes.
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PREPROCESSING
Radiometric corrections
Atmospheric corrections
Geometric corrections
1. Radiometric correction :- Radiometric
errors are caused by detector
imbalance & atmospheric deficiencies.
Radiometric corrections are transmitted
on the data in order to remove errors,
which are atmospheric correction.
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geometrically independent. Radiometriccorrections
are also called as. Cosmetic corrections & are done to improve
the visual appearance of the image.
Some Radiometric corrections are ,…
correction of missing scan line
correction for periodic line striping
random noise corrections
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2. Atmospheric corrections:- True ground-leaving
radiance is altered by scattering & hence it needs
corrections.
3. Geometric corrections :- The transformation of
remotely sensed images so as it has a scale & projections
of a map .is called as Geometric correction. Systematic
& nonsystematic disorders are corrected.
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IMAGE ENHANCEMENT
Image enhancementtechnique improve the quality & appearance
of an image for human visual analysis & subsequently for machine
also.
Common techniques are …
• Contrast stretch ,… linear & nonlinear
• Spatial filtering
• Band rationing
• principal component analysis
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Visual Interpretation
Thedigital data can be transformed to Photographic Images
B&W individual Band Images or 3-band Colour Composites
Elements : Tone / Colour, Texture, Pattern, Association, Shape, Size, Shadow.
Tone / Colour represents the reflectance of the terrain feature in a given
spectral band : Black to White gray shades / levels or Blue, Green, Red, Yellow
Magenta, Cyan, colours.
Texture refers to the aggregation of tones or repetition of tones in spatial
context : fine (water, grass, paddy, wheat, sand, etc.), Coarse (hills & valleys,
forests, urban areas, etc.) and Medium (other).
Pattern refers to the spatial arrangement of objects : Urban, agriculture, hilly,
water, Roads, Railways, Canals, etc.
Shape, size and shadow : aid in the recognition of the features and therefore in
interpretation of their significance
Multi-Thematic Maps : derived from Aerial Photographs : Topography :
elevations, slope, Drainage, Soils, Geology, landuse, etc.
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Plate 7.a Landsat5 TM band 2 (green) image. Plate 7.b Landsat 5 TM band 3 (red) image
Plate 7.c Landsat 5 TM band 4 (near infrared) image
Plate 7.d FCC:Landsat 5 TM band 2,3 and 4.(Band 4, 3 and 2 as RGB)
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Plate 1.a IRS-LISS-IIBand 2 Image Plate 1b. IRS-LII-II band 3 Image
Plate 1. c IRS-LISS-II Band 4 Image Plate 2. FCC (IRS 1A LISS-II : (bands 4,3 and 2 as RGB)
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IMAGE CLASSIFICATION
We normallycategorize the objects on the Earth’s surface as
forest, agriculture field, river, settlements etc.
Digital image classification is the process of assigning pixels to
classes. These classes represents regions on the image or map & are
identified by the number or symbol.
classification
supervised unsupervised
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Supervised : Itis the process of known identity (trained
pixels ) to classify the pixels, whose identity is not known.
Unsupervised :classifiers do not utilized training data as basis
of classification; classes are spectral classes; need of reference
data to identify informational value of the spectral class.
Sample area known as training areas. Statistics are calculated
for training sites. And every pixels within & outside the
training site is assigned to a class or category it most likely
resembles.
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DIFFERENT PHASES INSUPERVISED CLASSIFICATION
Appropriate classification scheme for analysis is adopted.
Selection of representative training site & collection of
spectral signatures.
Evaluation of statistics for the training site spectrum data.
The statistics are analyzed to select the appropriate features
( bands ) to be used in the classification process.
Appropriate classification algorithm is selected.
Classify the image into N classes.
Statistically analyze & evaluate the classification scheme.
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Thane Creek :Turbid Water
Tulsi Lake : Clear Water
Vihar Lake : Clear Water
Powai Lake : Clear Water
IIT Campus
Forest around National
Park Borivali
Barren land
Salt Pans
Mangroves
Urban – Mixed Area
Eastern Express Highway
Central Railway
Lal Bahadur Shastri Marg
Mumbai – Thane Creek Area : Landuse-Landcover details
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Classified MS image(MLH)
(IRS-LISS-II Bands 4,3,2)
WATER
LIGHT VEG.
THICK VEG.
MARSHY
URBAN
BARREN
TURBID
LEGEND
SALT PANS
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Thermal IR-Sensing
ThermalRanges:3 to 5 and 8 to15 m.
Emittance :Radiation, Day and Night Temperature Changes, Emittances of
terrain features.
Radiometers and Scanners (Cooled Detectors): Low-Energy, Coarse-
Resolutions : Spatial and Spectral.
Day and Night Time Thermal Images : Geology, Geo-Thermal, Volcanic,
Fires,.Thermal pollution, , etc.
Thermal Data : Landsat-3 : Band-8, Landsat- 4 / 5 : Band 6. Day and Night -
time.
Interpretation : Cool : Dark (low emittances), Hot : Bright (high emittances)
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