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Satellite mapping and automated feature extraction: Geographic information system-based change detection of the Antarctic coast.

机译:卫星测绘和自动特征提取:基于地理信息系统的南极海岸变化检测。

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摘要

Declassified Intelligence Satellite Photograph (DISP) data are important resources for measuring the geometry of the coastline of Antarctica. By using the state-of-art digital imaging technology, bundle block triangulation based on tie points and control points derived from a RADARSAT-1 Synthetic Aperture Radar (SAR) image mosaic and Ohio State University (OSU) Antarctic digital elevation model (DEM), the individual DISP images were accurately assembled into a map quality mosaic of Antarctica as it appeared in 1963. The new map is one of important benchmarks for gauging the response of the Antarctic coastline to changing climate.; Automated coastline extraction algorithm design is the second theme of this dissertation. At the pre-processing stage, an adaptive neighborhood filtering was used to remove the film-grain noise while preserving edge features. At the segmentation stage, an adaptive Bayesian approach to image segmentation was used to split the DISP imagery into its homogenous regions, in which the fuzzy c-means clustering (FCM) technique and Gibbs random field (GRF) model were introduced to estimate the conditional and prior probability density functions. A Gaussian mixture model was used to estimate the reliable initial values for the FCM technique. At the post-processing stage, image object formation and labeling, removal of noisy image objects, and vectorization algorithms were sequentially applied to segmented images for extracting a vector representation of coastlines. Results were presented that demonstrate the effectiveness of the algorithm in segmenting the DISP data. In the cases of cloud cover and little contrast scenes, manual editing was carried out based on intermediate image processing and visual inspection in comparison of old paper maps.; Through a geographic information system (GIS), the derived DISP coastline data were integrated with earlier and later data to assess continental scale changes in the Antarctic coast. Computing the area of major Antarctic ice shelves between 1963 and 1997, we found that the net loss was approximately 0.8% and ice shelves retreated mostly between DISP and Scientific Committee Antarctic Research (SCAR) Antarctic Digital Database (ADD). In addition, over the 56-years (1947--present) observations on Pine Island Glacier, we found that the retreat rate has been approximately -10 +/- 65 m/yr.
机译:机密情报卫星照片(DISP)数据是测量南极海岸线几何形状的重要资源。通过使用最新的数字成像技术,基于从RADARSAT-1合成孔径雷达(SAR)图像镶嵌图和俄亥俄州立大学(OSU)南极数字高程模型(DEM)得出的联系点和控制点进行束块三角剖分,将各个DISP图像准确地组装成1963年出现的南极地图质量的马赛克。新地图是衡量南极海岸线对气候变化的反应的重要基准之一。本文的第二个主题是自动化海岸线提取算法设计。在预处理阶段,使用自适应邻域滤波来去除胶片颗粒噪声,同时保留边缘特征。在分割阶段,使用自适应贝叶斯图像分割方法将DISP图像分割为均匀区域,其中引入了模糊c均值聚类(FCM)技术和吉布斯随机场(GRF)模型来估计条件和先验概率密度函数。高斯混合模型用于估计FCM技术的可靠初始值。在后处理阶段,将图像对象的形成和标记,噪声图像对象的去除以及矢量化算法依次应用于分割后的图像,以提取海岸线的矢量表示。提出的结果证明了该算法在分割DISP数据方面的有效性。在云层密布和对比场面很少的情况下,根据中间图像处理和视觉检查与旧纸质地图的比较进行了手动编辑。通过地理信息系统(GIS),将导出的DISP海岸线数据与早期和以后的数据集成在一起,以评估南极海岸的大陆尺度变化。计算1963年至1997年之间的主要南极冰架面积,我们发现净损失约为0.8%,冰架大部分在DISP和南极科学委员会(SCAR)南极数字数据库(ADD)之间退缩。此外,在对派恩岛冰川(Pine Island Glacier)的56年(1947年至今)的观测中,我们发现后退速率约为-10 +/- 65 m / yr。

著录项

  • 作者

    Kim, Kee-Tae.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Engineering Civil.; Remote Sensing.; Geophysics.; Physics Atmospheric Science.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 171 p.
  • 总页数 171
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;遥感技术;地球物理学;大气科学(气象学);
  • 关键词

  • 入库时间 2022-08-17 11:44:29

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