OBJECTIVES

• Classification using LiDAR data

DATA RECIEVED

• Cloud data in 2 levels
• Area 530sq km in 443 frames
• Avg posting of 5 point \m sq.

METHODOLOGY FOLLOWED

• Georefrencing meta data and images
• Processing(break lines vector, cadastral maps,orthimages and geoids)
• Adjustments
• Orthoimages
• Classification
• Model generation
• Data product and delivery(bare earth roads,contours,true orthoimages, corridors and feature extraction)