Research Papers

Method of flight planning for airborne LiDAR using genetic algorithms

[+] Author Affiliations
Ajay Dashora

Institute of Infrastructure, Technology, Research and Management, Ahmedabad 380008, India

Bharat Lohani

Indian Institute of Technology Kanpur, Department of Civil Engineering, Kanpur 208016, India

Kalyanmoy Deb

Michigan State University, Department of Electrical & Computer Engineering, Michigan 48824, United States

J. Appl. Remote Sens. 8(1), 083576 (Aug 05, 2014). doi:10.1117/1.JRS.8.083576
History: Received January 20, 2014; Revised June 25, 2014; Accepted June 26, 2014
Text Size: A A A

Abstract.  Conventional methods of flight planning for airborne LiDAR are heuristic in nature and use an iterative trial and error approach. A new system-based approach of flight planning is presented in this paper. The presented approach automatically derives flight planning parameters by minimizing the cost of data acquisition, which is represented by flight duration. The flight duration, which is the sum of the strip time and turning time, is minimized using genetic algorithms under the constraints of mapping requirements, hardware limitations, user-defined preferences, and various other requirements. The proposed approach is first validated for conventionally known test cases of regular shapes (rectangular and triangular). Thereafter, it is implemented for an arbitrarily shaped simulated test site with two commercially available airborne LiDAR sensors. Statistical results are presented for the above. Further, flight planning is performed for two real test sites. The demonstrated approach not only produces optimal results, but also avoids the assumptions of conventional methods. Furthermore, the approach requires the least amount of human intervention and, thus, eliminates the subjectivity that is imposed by individual flight planners for determining the flight planning parameters. Encouraged by these results, the authors suggest that the proposed approach can be further developed to include all possible components of flight planning in a future work.

Figures in this Article
© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Ajay Dashora ; Bharat Lohani and Kalyanmoy Deb
"Method of flight planning for airborne LiDAR using genetic algorithms", J. Appl. Remote Sens. 8(1), 083576 (Aug 05, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.083576


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.