Pseudo-hyperdimensional optical remote sensing: assessment and challenge

Chenxin Fan; Yi Lin

doi:10.1117/12.3046273

13 December 2024 Pseudo-hyperdimensional optical remote sensing: assessment and challenge

Chenxin Fan, Yi Lin

Author Affiliations +

Proceedings Volume 13496, AOPC 2024: Optical Sensing, Imaging Technology, and Applications; 134960F (2024) https://doi.org/10.1117/12.3046273
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China

Abstract

Synchronous heterogeneous optical remote sensing (RS) now is marching from integrated high-dimensional optical RS to single-system hyperdimensional optical RS. The representative case includes light detection and ranging (LiDAR) – from its integration with hyperspectral imager to the cutting-edge hyperspectral LiDAR. In this process, some kinds of pseudo-hyperdimensional optical RS systems are designed in order to achieve the performance comparable to the latter. However, whether such systems can give the satisfactory results for the applications with strict requirements on accuracy is always a concern for the discipline. Aiming at this issue, we attempt to make its data quality assessment, in the case of Leica BLK360. The results show the modes of laser reflectance, RGB reflectance, and laser footprint diameter index changing along with the ranging distance increasing. As regard to the key point of data quality assessment, i.e., how to assign the reflectance amplitudes of the red-green-blue (RGB) spectral bands for each laser footprint, we compare the performance of BLK360 with that of a real-sense hyperspectral LiDAR, the prototype developed by Finnish Geospatial Research Institute. The statistical comparison indicates that the latter works better, since it is not restricted to the problem caused by image matching to laser footprint, which is generally inherent in pseudo-hyperdimensional optical RS. With such challenges in application of pseudo-hyperdimensional optical RS clarified, the necessity of stepping into the stage of hyperdimensional optical RS is highlighted.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chenxin Fan and Yi Lin "Pseudo-hyperdimensional optical remote sensing: assessment and challenge", Proc. SPIE 13496, AOPC 2024: Optical Sensing, Imaging Technology, and Applications, 134960F (13 December 2024); https://doi.org/10.1117/12.3046273

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Remote sensing

Ranging

Reflectivity

Plastics

LIDAR

Integrated optics

Beam diameter

Show All Keywords

Keywords/Phrases

Search In:

Publication Years