方向適応のOPTICS山地林地域の地表と冠層の表面検出

  • role: First author第一作者
  • Affiliation:

    Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China

  • Email:junfeng_xie@163.com
  • Introduction:姿E-mail junfeng_xie@163.com
XIE Junfeng1,  
  • role: Corresponding author通信作者
  • Affiliation:

    Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China

    College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

  • Email:yxm17854258090@163.com
  • Introduction:E-mail yxm17854258090@163.com
YANG Xiaomeng12*,  
  • Affiliation:

    Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China

    College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

XU Chaopeng12,  
  • Affiliation:

    China Centre for Resources Satellite Data and Application, Beijing 100094, China

LU Yilin3,  
  • Affiliation:

    Yunnan Remote Sensing Center, Kunming 650032, China

ZHANG Libin4,  
  • Affiliation:

    Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China

MO Fan1,  
  • Affiliation:

    Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China

LYU Xin1,  
  • Affiliation:

    Faculty of Geography, Yunnan Normal University, Kunming 650050, China

LIU Ren5,  
  • Affiliation:

    Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China

ZENG Junze1

サマリー

新世代の氷、雲、土地高度衛星(Ice、Cloud、and Land Elevation Satellite-2、ICESat-2)/高度地形レーザーアルチメーターシステム(Advanced Topographic Laser Altimeter System、ATLAS)が、山地林地域での信号の抽出精度が低く地表と冠層の表面の検出に難ありなどの問題に対し、本稿では山地林地域の地表と冠層の表面を検出する手法と、最初にランダムサンプルコンセンサス(Random Sample Consensus、RANSAC)でセグメント曲線を初期地表に適合し、伝統的なOPTICSの円を置き換えるための方向適応楕円検索領域を形成して方向適応のOPTICSを構築し、オウツ法(Nobuyuki Otsu method、OTSU)を組み込んで地表の信号を抽出し、地表抽出と地表適合を反復して細かな地表を取得する。その後、精密地表を参照して地形の点群への影響を排除し、垂直楕円のOPTICSを採用して植生の信号を抽出し、冠層の表面を検出する。黒龍江孟家崗林場、遼寧撫順林区ATLASを研究対象として実験を行い、人工記録サンプルと無人機製品を利用して精度を検証。その結果、本稿の手法による地表と植生信号の抽出精度(F値)は0.97であり、楕円ベースのOPTICSに比べて約0.07向上し;また、本稿の手法による地表および冠層の表面高度平均二乗誤差(Root Mean Square Error、RMSE)はそれぞれ1.08mと2.33mであり、ATL08の1.92mよりも明らかに精度が向上している。したがって、本稿の手法による植生信号の抽出と地表および冠層の表面検出の精度はより高く、山地林地域などで勾配変化が大きい地域において、信頼性の高いデータ基盤を提供できる。

キーワード

ICESat-2、ATLAS、方向適応、OPTICS、反復精製、地形勾配、光子カウント、山地林地域

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