Assessment of multiresolution segmentation for delimiting drumlins in digital elevation models.
Assessment of multiresolution segmentation for delimiting drumlins in digital elevation models.
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DOI：
10.1016/j.geomorph.2014.02.028
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发表时间：
2014-06-01
期刊：
影响因子：
--
通讯作者：
Hillier J
中科院分区：
文献类型：
--
作者：
Eisank C;Smith M;Hillier J
绘制或“划定”地貌是地貌学的主要工具之一。基于计算机的技术，如陆地表面分割，可以模拟人工地形划定的过程。地表分割是将数字高程模型（DEM）彻底细分为形态均匀的不规则形状区域，称为地形段。地形段可以从多个尺度的各种地表参数（LSP）中创建，因此可能对应于地形的空间范围，如鼓林。但是，这取决于分割算法、参数化和LSP。在本研究中，我们评估了广泛使用的多分辨率分割（MRS）算法的潜力，在提供地形段划定drumlins。监督测试是基于5个5米的DEM，代表了一组173个合成鼓在随机的，但代表性的位置在同一景观。测试了五个LSP，并为每个LSP计算了四个变量，以评估DEM的中值滤波和LSP的对数变换的影响。测试方案（1）采用MRS通过增加尺度参数（SP）将每个LSP详尽地划分为200个较粗尺度的地形段，（2）识别每个参考鼓林的空间最佳匹配地形段，以及（3）计算四个分割准确度度量以量化鼓林段和参考鼓林之间的整体空间匹配。100次测试的结果表明，MRS往往表现最好的LSP是从过滤DEM区域派生，然后对数转换。MRS描绘了97%的检测到的鼓在SP值在1和50之间。高达50%的Drumlin定界率与人工解释的成功一致。合成DEM非常适合评估地形量化方法，如MRS，因为参考数据的主观性被避免，从而提高了结果的可靠性，有效性和适用性。多分辨率分割测试划定合成DEM中的鼓。鼓可以由单独的地形段限定。最后给出了基于地形的鼓岭划界优化建议。理想的地形衍生物是区域性的，从过滤后的DEM中导出，并进行归一化。回收率与专家人工判读的回收率相似。
Mapping or “delimiting” landforms is one of geomorphology's primary tools. Computer-based techniques such as land-surface segmentation allow the emulation of the process of manual landform delineation. Land-surface segmentation exhaustively subdivides a digital elevation model (DEM) into morphometrically-homogeneous irregularly-shaped regions, called terrain segments. Terrain segments can be created from various land-surface parameters (LSP) at multiple scales, and may therefore potentially correspond to the spatial extents of landforms such as drumlins. However, this depends on the segmentation algorithm, the parameterization, and the LSPs. In the present study we assess the widely used multiresolution segmentation (MRS) algorithm for its potential in providing terrain segments which delimit drumlins. Supervised testing was based on five 5-m DEMs that represented a set of 173 synthetic drumlins at random but representative positions in the same landscape. Five LSPs were tested, and four variants were computed for each LSP to assess the impact of median filtering of DEMs, and logarithmic transformation of LSPs. The testing scheme (1) employs MRS to partition each LSP exhaustively into 200 coarser scales of terrain segments by increasing the scale parameter (SP), (2) identifies the spatially best matching terrain segment for each reference drumlin, and (3) computes four segmentation accuracy metrics for quantifying the overall spatial match between drumlin segments and reference drumlins. Results of 100 tests showed that MRS tends to perform best on LSPs that are regionally derived from filtered DEMs, and then log-transformed. MRS delineated 97% of the detected drumlins at SP values between 1 and 50. Drumlin delimitation rates with values up to 50% are in line with the success of manual interpretations. Synthetic DEMs are well-suited for assessing landform quantification methods such as MRS, since subjectivity in the reference data is avoided which increases the reliability, validity and applicability of results. Multiresolution segmentation is tested for delimiting drumlins in synthetic DEMs. Drumlins may be delimited by individual terrain segments. Recommendations for optimizing terrain-based drumlin delimitation are given. Ideal terrain derivatives are regional, derived from a filtered DEM, and normalized. Recovery rates are similar to those achieved by experts in manual interpretation.
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DOI：
10.1016/j.geomorph.2011.03.011
发表时间：
2011-07-15
期刊：
Geomorphology (Amsterdam, Netherlands)
影响因子：
--
作者：
Drăguţ L;Eisank C;Strasser T
通讯作者：
Strasser T
影响因子：
13.5
作者：
Anders, Niels S.;Seijmonsbergen, Arie C.;Bouten, Willem
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Bouten, Willem
影响因子：
3.9
作者：
Finlayson, Andrew
通讯作者：
Finlayson, Andrew
影响因子：
3.8
作者：
Gao, Yan;Marpu, Prashanth;Pontius, Robert Gilmore, Jr.
通讯作者：
Pontius, Robert Gilmore, Jr.
DOI：
10.1080/13658816.2011.558845
发表时间：
2011-01-01
影响因子：
5.7
作者：
Gercek, Deniz;Toprak, Vedat;Strobl, Josef
通讯作者：
Strobl, Josef