A DEM generalization by minor valley branch detection and grid filling
A DEM generalization by minor valley branch detection and grid filling
复制标题
通过次谷分支检测和网格填充进行 DEM 推广
DOI：
10.1016/j.isprsjprs.2009.11.001
复制
发表时间：
2010-03-01
影响因子：
12.7
通讯作者：
Li, Jingzhong
中科院分区：
文献类型：
--
作者：
Ai, Tinghua;Li, Jingzhong
作为一种重要的地形表示方法，为了适应不同的应用，通常需要在多个分辨率下对DEM进行泛化。保留主要景观特征是DEM概化的一个重要制约因素。传统的基于重采样或低通滤波的信号处理泛化方法只是一种数据压缩操作，而不是对真实信息的抽象。本研究开发了一种结构化的分析方法，通过识别小谷并填充相应的凹陷位置来推广DEM数据。概化过程分为地理决策和几何运算两个步骤。根据其水文意义，对不重要的河谷分支进行检测，通过抬升地形填充其相应的覆盖范围，使地形表面更加光滑。与传统的基于图像处理的算法相比，该方法能够更有效地保留地形的主要地理特征。(C) 2009国际摄影测量与遥感学会（ISPRS）Elsevier B.V.版权所有。
As an important method of terrain representation, a DEM usually needs to be generalized at multiple resolutions in order to adapt to different applications. The preservation of main landscape features is an important constraint in DEM generalization. The traditional generalization method based on signal processing by resampling or low-pass filtering is just a data compression operation rather than the abstraction of real information. This study develops a structured analysis method to generalize DEM data through the identification of minor valleys and filling the corresponding depression positions. The generalization process has two steps: geographic decision and geometric operation. According to their hydrological significance, the unimportant valley branches are detected and their corresponding coverage is filled by raising the terrain to make the terrain surface smoother. In contrast to the conventional algorithms based on image processing, this method is able to retain the main geographical characteristics more effectively in terrain representation. (C) 2009 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.