Fusion of aerial lidar and images for road segmentation with deep CNN.
Biswas ParajuliPiyush KumarTathagata MukherjeeEduardo L. PasiliaoSachin JambawalikarPublished in: SIGSPATIAL/GIS (2018)
Keyphrases
- aerial images
- segmentation algorithm
- image analysis
- segmentation method
- microscopic images
- urban areas
- test images
- edge detection
- adaptive thresholding
- satellite images
- image slices
- accurate segmentation
- image data
- image database
- segmentation accuracy
- grey level
- segmented images
- fully automatic
- input image
- aerial imagery
- image regions
- multiscale
- image features
- image registration
- ground truth
- image retrieval
- segmentation errors
- pixel level
- automatically segmented
- tubular structures
- lidar data
- low depth of field
- image segmentation
- fusion methods
- pixel wise
- microscopy images
- foreground and background
- image segments
- level set
- computer vision
- pigmented skin lesions
- aerial photographs
- image sequences
- object recognition
- medical images
- region growing
- fusion process
- object segmentation
- multiple objects
- cell nuclei
- fused image