AN ADAPTIVE FILTER BASED ON LOCAL SLOPE BY ADJUSTING ELLIPTIC FILTER KERNEL FOR ICESAT-2 PHOTON COUNTING LASER ALTIMETRIC DATA

被引：4
|
作者：
Xie, Huan [1 ]
Ye, Dan [1 ]
Hai, Gang [1 ]
Tong, Xiaohua [1 ]
机构：
[1] Tongji Univ, Coll Surveying & Geoinformat, 1239 Siping Rd, Shanghai 200092, Peoples R China
来源：
29TH INTERNATIONAL LASER RADAR CONFERENCE (ILRC 29) | 2020年 / 237卷
基金：
中国国家自然科学基金;
关键词：
photon counting; noise filtering; Gaussian density; ICESat-2;
D O I：
10.1051/epjconf/202023701003
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：3
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