Project Objective:
Identification of landform regions from
multi-spectral satellite images
Input:
Multi-spectral satellite images (3-band)
Output :
Landform segments labeled with unique colors
Proposed Hierarchical Landform Classification
Input Image
Dunes
Desertic
Coastal
DP I
CP I
Salt Flats
Inselberg
Sea
Forested
Swamp
Fluvial
FP I
Sandy
Beach
Alluvial
plain
Active
Channel
Flood
Plains
Alluvial
Plains
DP II
Parabolic
Longitudinal
Barchanoids
Sandy plain
CP II
CP III
FP II
Coastal Bars
Swamp
Creek
Ox-Bow
FP III
Bars
Fuse Landform
Segments
Fuse Landform
Segments
Fuse Landform
Segments
Class-Labeled
Output Image
Class-Labeled
Output Image
Class-Labeled
Output Image
Results for Desertic landform
Segmented Output
Desertic Image
Results for Desertic landform
Desertic Image
Segmented Output
Results for Coastal landform
Coastal Image
Segmented Output
Results for Coastal landform
Segmented Output
Coastal Image
Results for Fluvial landform
Fluvial Image
Segmented Output
Results for Fluvial landform
Segmented Output
Input Image
Overview of the approach for Road
detection from satellite images
Satellite image is processed in four stages:
• First stage: Edge map is obtained from satellite image using
1-D processing
• Second stage: Edge map is post-processed using a set of
binary morphological operations
• Third stage: Linear and curvilinear segments are
extracted using a GMM based extractor from the edge map
• Final stage: A FFNN is used to detect road segments from
GMM based extractor output
Artificial Neural Networks Lab
IIT Madras
Satellite image of a part of Chennai,
Source: NRSA, 1998.
Same from Google-Earth, Nov-2005.
Satellite image of a part of Chennai
Scanned map of same part
(i) Post-processed edge map
(iii) ANN output
(ii) GMM output
Manually plotted road
network using a GUI tool
SATELLITE IMAGE – ROAD DETECTION
Satellite Image of a
part of Chennai city.
Res: 5.8 m
Extracted road segments
using a hybrid approach
ANN output
Output using GMM
A satellite image
Road boundaries from ANN output
Manually plotted road network
Multi-spectral
Satellite image,
Res: 1m
Extracted road
segments using
a hybrid approach