Abstract
Remote sensing data from waveform lidar sensors supply the complete profile of the backscattered signal. This characteristic opens interesting new frontiers for the study of land cover because, in addition to range measurements, further physical properties of objects may be derived through analysis of the return impulse. This paper’s intent is to assess the state of the art in waveform signal processing aimed at land cover interpretation. We start with a description of GLAS data structure and follow with a review of specific signal processing techniques that can be applied. Conclusions discuss the state of the art methods from the perspective of practical applications.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.