A new method for road detection in urban areas using high-resolution satellite images and Lidar data based on fuzzy nearest-neighbor classification and optimal features

Using object-based hierarchical classification to extract land use land cover classes from high-resolution satellite imagery in a complex urban area

(2015) Mohsen Gholoobi et al.   Journal of Applied Remote Sensing

Automatic Segmentation of Lidar Data into Coplanar Point Clusters Using an Octree-Based Split-and-Merge Algorithm

(2013) Miao Wang et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Semi-Automated Road Detection From High Resolution Satellite Images by Directional Morphological Enhancement and Segmentation Techniques

(2012) D. Chaudhuri et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Object-Based Classification of Urban Areas Using VHR Imagery and Height Points Ancillary Data

(2012) Bahram Salehi et al.   Remote Sensing

Automatic main road extraction from high resolution satellite imageries by means of particle swarm optimization applied to a fuzzy-based mean calculation approach

(2009) A. Mohammadzadeh et al.   Journal of the Indian Society of Remote Sensing

Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images

(2009) S. Valero et al.   PATTERN RECOGNITION LETTERS

Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas

(2008) Yunhao Chen et al.   ADVANCES IN SPACE RESEARCH