Published 2020 | Version v1
Journal article

An Adaptive Filter Based on Local Slope by Adjusting Elliptic Filter Kernel for ICESat-2 Photon Counting Laser Altimetric Data

  • 1. College of Surveying and Geo-informatics, Tongji University, 1239 Siping Road, Shanghai 200092 (China)

Description

The Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) was launched on September 15th, 2018, which continues to perform measurement tasks as the successor to ICESat. Unlike full waveform technology of ICESat, ICESat-2 employs micropulse photon counting technology, which provides higher accuracy, but produces plenty of noise. This paper proposes an adaptive filter based on local slope by adjusting elliptic filter kernel. The general approach is 1) data preprocessing, 2) Gaussian density calculation, 3) OTSU adaptive threshold calculation. This method is seen to be robust in identifying signal points from high background noise points and suitable for low density data caused by slope. Key words: photon counting / noise filtering / Gaussian density / ICESat-2

Availability note (English)

Available from https://www.epj-conferences.org/articles/epjconf/pdf/2020/13/epjconf_ilrc292020_01003.pdf; https://doaj.org/article/3950a7631d77421aa59fa1f6b6a67b92

Additional details

Publishing Information

Journal Title
EPJ. Web of Conferences
Journal Volume
237
Journal Page Range
vp.
ISSN
2100-014X

Conference

Title
29. International Laser Radar Conference
Acronym
ILRC 29
Dates
24-28 Jun 2019
Place
Hefei, Anhui Province (China)

INIS

Country of Publication
France
Country of Input or Organization
France
INIS RN
53093133
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
BACKGROUND NOISE; DENSITY; FILTERS; KERNELS; LASERS; PHOTON COUNTING; REMOTE SENSING; SIGNALS; WAVE FORMS
Descriptors DEC
NOISE; PHYSICAL PROPERTIES