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Proceedings Paper

Study on pixel matching method of the multi-angle observation from airborne AMPR measurements
Author(s): Weizhen Hou; Lili Qie; Zhengqiang Li; Xiaobing Sun; Jin Hong; Xingfeng Chen; Hua Xu; Bin Sun; Han Wang
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Paper Abstract

For the along-track scanning mode, the same place along the ground track could be detected by the Advanced Multi-angular Polarized Radiometer (AMPR) with several different scanning angles from -55 to 55 degree, which provides a possible means to get the multi-angular detection for some nearby pixels. However, due to the ground sample spacing and spatial footprint of the detection, the different sizes of footprints cannot guarantee the spatial matching of some partly overlap pixels, which turn into a bottleneck for the effective use of the multi-angular detected information of AMPR to study the aerosol and surface polarized properties. Based on our definition and calculation of t he pixel coincidence rate for the multi-angular detection, an effective multi-angle observation’s pixel matching method is presented to solve the spatial matching problem for airborne AMPR. Assuming the shape of AMPR’s each pixel is an ellipse, and the major axis and minor axis depends on the flying attitude and each scanning angle. By the definition of coordinate system and origin of coordinate, the latitude and longitude could be transformed into the Euclidian distance, and the pixel coincidence rate of two nearby ellipses could be calculated. Via the traversal of each ground pixel, those pixels with high coincidence rate could be selected and merged, and with the further quality control of observation data, thus the ground pixels dataset with multi-angular detection could be obtained and analyzed, providing the support for the multi-angular and polarized retrieval algorithm research in t he next study.

Paper Details

Date Published: 8 October 2015
PDF: 6 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96751Z (8 October 2015); doi: 10.1117/12.2199777
Show Author Affiliations
Weizhen Hou, Institute of Remote Sensing and Digital Earth (China)
Lili Qie, Institute of Remote Sensing and Digital Earth (China)
Zhengqiang Li, Institute of Remote Sensing and Digital Earth (China)
Xiaobing Sun, Anhui Institute of Optics and Fine Mechanics (China)
Jin Hong, Anhui Institute of Optics and Fine Mechanics (China)
Xingfeng Chen, Institute of Remote Sensing and Digital Earth (China)
Hua Xu, Institute of Remote Sensing and Digital Earth (China)
Bin Sun, Anhui Institute of Optics and Fine Mechanics (China)
Han Wang, Anhui Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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