Image Processing Softwares Notes | EduRev

 Page 1


 (i) Image Processing 
Softwares 
 
D. Nagesh Kumar, IISc 
Remote Sensing: M6L1 
Digital Image Processing Software 
1 
Page 2


 (i) Image Processing 
Softwares 
 
D. Nagesh Kumar, IISc 
Remote Sensing: M6L1 
Digital Image Processing Software 
1 
Objectives 
? Introduction 
? ERDAS Imagine 
? ENVI 
? ArcGIS 
2 
Remote Sensing: M6L1 
D. Nagesh Kumar, IISc 
Page 3


 (i) Image Processing 
Softwares 
 
D. Nagesh Kumar, IISc 
Remote Sensing: M6L1 
Digital Image Processing Software 
1 
Objectives 
? Introduction 
? ERDAS Imagine 
? ENVI 
? ArcGIS 
2 
Remote Sensing: M6L1 
D. Nagesh Kumar, IISc 
Introduction 
? Effective data processing requires use of various 
types of remote sensing softwares for effective 
feature extraction 
? They should be innovative and user friendly to cater 
to the needs of a wide variety of image formats 
? Most popular products are ERDAS IMAGINE, ENVI 
and ArcGIS 
 
3 
Remote Sensing: M6L1 
D. Nagesh Kumar, IISc 
Page 4


 (i) Image Processing 
Softwares 
 
D. Nagesh Kumar, IISc 
Remote Sensing: M6L1 
Digital Image Processing Software 
1 
Objectives 
? Introduction 
? ERDAS Imagine 
? ENVI 
? ArcGIS 
2 
Remote Sensing: M6L1 
D. Nagesh Kumar, IISc 
Introduction 
? Effective data processing requires use of various 
types of remote sensing softwares for effective 
feature extraction 
? They should be innovative and user friendly to cater 
to the needs of a wide variety of image formats 
? Most popular products are ERDAS IMAGINE, ENVI 
and ArcGIS 
 
3 
Remote Sensing: M6L1 
D. Nagesh Kumar, IISc 
ERDAS Imagine 
? ERDAS IMAGINE allows an unlimited number of layers/ 
bands of data to be used for one classification.  
 
? Usual practice is to reduce dimensionality of the data as 
much as possible as unnecessary data tend to consume disk 
space thereby slowing down the processing. 
 
 
4 
Remote Sensing: M6L1 
D. Nagesh Kumar, IISc 
Page 5


 (i) Image Processing 
Softwares 
 
D. Nagesh Kumar, IISc 
Remote Sensing: M6L1 
Digital Image Processing Software 
1 
Objectives 
? Introduction 
? ERDAS Imagine 
? ENVI 
? ArcGIS 
2 
Remote Sensing: M6L1 
D. Nagesh Kumar, IISc 
Introduction 
? Effective data processing requires use of various 
types of remote sensing softwares for effective 
feature extraction 
? They should be innovative and user friendly to cater 
to the needs of a wide variety of image formats 
? Most popular products are ERDAS IMAGINE, ENVI 
and ArcGIS 
 
3 
Remote Sensing: M6L1 
D. Nagesh Kumar, IISc 
ERDAS Imagine 
? ERDAS IMAGINE allows an unlimited number of layers/ 
bands of data to be used for one classification.  
 
? Usual practice is to reduce dimensionality of the data as 
much as possible as unnecessary data tend to consume disk 
space thereby slowing down the processing. 
 
 
4 
Remote Sensing: M6L1 
D. Nagesh Kumar, IISc 
? To perform supervised classification using ERDAS 
IMAGINE, open the image in a viewer. 
? Select training signatures using the AOI tool [ AOI>Tools]  
? Select Signature Editor using the Classifier button. Select signatures 
representing each land cover class in the viewer. Use the Create Polygon AOI 
button  from the AOI tools. After selecting a polygonal area, double click when 
finished. Three or more signatures need to be collected for each land cover type 
classified. Once this procedure is complete, save the signature file.  
? Use the ‘Classifier’ button from menu and go for ‘Supervised Classification’ 
? Select the satellite imagery and enter in the ‘Input Raster File’. Similarly, load 
the file created using the signature editor in the box showing ‘Input Signature 
File’. Enter a new file name for the classified image. Press OK. 
? This procedure can be followed for performing supervised classifications like 
maximum likelihood, minimum distance to means, etc 
5 
Remote Sensing: M6L1 
D. Nagesh Kumar, IISc 
ERDAS Imagine- Supervised  
Classification