Geospatial analysis based on GIS integrated with LADAR | Zendy

Matt R. Fetterman | Zendy; R.A. Freking | Zendy; Christy Fernandez-Cull | Zendy; Christopher W. Hinkle | Zendy; Anu Myne | Zendy; Steven Relyea | Zendy; Jim Winslow | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Geospatial analysis based on GIS integrated with LADAR

Author(s) -

Matt R. Fetterman,

R.A. Freking,

Christy Fernandez-Cull,

Christopher W. Hinkle,

Anu Myne,

Steven Relyea,

Jim Winslow

Publication year - 2013

Publication title -

optics express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.21.023579

Subject(s) - geospatial analysis , computer science , visualization , lidar , geographic information system , set (abstract data type) , data set , motion planning , artificial intelligence , computer vision , remote sensing , robot , geography , programming language

In this work, we describe multi-layered analyses of a high-resolution broad-area LADAR data set in support of expeditionary activities. High-level features are extracted from the LADAR data, such as the presence and location of buildings and cars, and then these features are used to populate a GIS (geographic information system) tool. We also apply line-of-sight (LOS) analysis to develop a path-planning module. Finally, visualization is addressed and enhanced with a gesture-based control system that allows the user to navigate through the enhanced data set in a virtual immersive experience. This work has operational applications including military, security, disaster relief, and task-based robotic path planning.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research