INDMF Based Regularity Calculation Method and Its Application in the Recognition of Typical Loess Landforms
The topographical morphology of the loess landform on the Loess Plateau exhibits remarkable textural features at different spatial scales. However, existing topographic texture analysis studies on the Loess Plateau are usually dominated by statistical characteristics and are missing structural chara...
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MDPI AG
2022-05-01
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author | Sheng Jiang Xiaoli Huang Ling Jiang |
author_facet | Sheng Jiang Xiaoli Huang Ling Jiang |
author_sort | Sheng Jiang |
collection | DOAJ |
description | The topographical morphology of the loess landform on the Loess Plateau exhibits remarkable textural features at different spatial scales. However, existing topographic texture analysis studies on the Loess Plateau are usually dominated by statistical characteristics and are missing structural characteristics. At the same time, there is a lack of regularity calculation methods for DEM digital terrain analysis. Taking the Loess Plateau as the study area, a regularity calculation method based on the improved normalized distance matching function (INDMF) is proposed and applied to the classification of a loess landform. The regularity calculation method used in this study (INDMF regularity) mainly includes two key steps. Step 1 calculates the INDMF sequence value and the peak and valley values for the terrain data. Step 2 calculates the significant peak and valley, constructs the significant peak and valley sequences, and then obtains the regularity using the normalised ratio value. The experimental results show that the proposed method has good anti-interference ability and can effectively extract the regularity of the main landform unit. Compared with previous methods, adding structural features (i.e., INDMF regularity) can effectively distinguish loess hill and loess ridge in the hilly and gully region. For the loess hill and loess ridge, the recognition rates of the proposed method are 84.62% and 92.86%, respectively. Combined with the existing topographic characteristics, the proposed INDMF regularity is a topographic structure feature extraction method that can effectively discriminate between loess hill and loess ridge areas on the Loess Plateau. |
first_indexed | 2024-03-10T03:43:33Z |
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institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T03:43:33Z |
publishDate | 2022-05-01 |
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spelling | doaj.art-04108553bce04ba2b93d198e350dcd562023-11-23T09:13:20ZengMDPI AGRemote Sensing2072-42922022-05-01149228210.3390/rs14092282INDMF Based Regularity Calculation Method and Its Application in the Recognition of Typical Loess LandformsSheng Jiang0Xiaoli Huang1Ling Jiang2School of Mechatronics and Information, Wuxi Vocational Institute of Arts and Technology, Yixing 214206, ChinaSchool of Geographical Information and Tourism, Chuzhou University, Chuzhou 239000, ChinaSchool of Geographical Information and Tourism, Chuzhou University, Chuzhou 239000, ChinaThe topographical morphology of the loess landform on the Loess Plateau exhibits remarkable textural features at different spatial scales. However, existing topographic texture analysis studies on the Loess Plateau are usually dominated by statistical characteristics and are missing structural characteristics. At the same time, there is a lack of regularity calculation methods for DEM digital terrain analysis. Taking the Loess Plateau as the study area, a regularity calculation method based on the improved normalized distance matching function (INDMF) is proposed and applied to the classification of a loess landform. The regularity calculation method used in this study (INDMF regularity) mainly includes two key steps. Step 1 calculates the INDMF sequence value and the peak and valley values for the terrain data. Step 2 calculates the significant peak and valley, constructs the significant peak and valley sequences, and then obtains the regularity using the normalised ratio value. The experimental results show that the proposed method has good anti-interference ability and can effectively extract the regularity of the main landform unit. Compared with previous methods, adding structural features (i.e., INDMF regularity) can effectively distinguish loess hill and loess ridge in the hilly and gully region. For the loess hill and loess ridge, the recognition rates of the proposed method are 84.62% and 92.86%, respectively. Combined with the existing topographic characteristics, the proposed INDMF regularity is a topographic structure feature extraction method that can effectively discriminate between loess hill and loess ridge areas on the Loess Plateau.https://www.mdpi.com/2072-4292/14/9/2282DEMloess hilly and gully regionINDMF regularityterrain texturelandform recognitionLoess Plateau |
spellingShingle | Sheng Jiang Xiaoli Huang Ling Jiang INDMF Based Regularity Calculation Method and Its Application in the Recognition of Typical Loess Landforms Remote Sensing DEM loess hilly and gully region INDMF regularity terrain texture landform recognition Loess Plateau |
title | INDMF Based Regularity Calculation Method and Its Application in the Recognition of Typical Loess Landforms |
title_full | INDMF Based Regularity Calculation Method and Its Application in the Recognition of Typical Loess Landforms |
title_fullStr | INDMF Based Regularity Calculation Method and Its Application in the Recognition of Typical Loess Landforms |
title_full_unstemmed | INDMF Based Regularity Calculation Method and Its Application in the Recognition of Typical Loess Landforms |
title_short | INDMF Based Regularity Calculation Method and Its Application in the Recognition of Typical Loess Landforms |
title_sort | indmf based regularity calculation method and its application in the recognition of typical loess landforms |
topic | DEM loess hilly and gully region INDMF regularity terrain texture landform recognition Loess Plateau |
url | https://www.mdpi.com/2072-4292/14/9/2282 |
work_keys_str_mv | AT shengjiang indmfbasedregularitycalculationmethodanditsapplicationintherecognitionoftypicalloesslandforms AT xiaolihuang indmfbasedregularitycalculationmethodanditsapplicationintherecognitionoftypicalloesslandforms AT lingjiang indmfbasedregularitycalculationmethodanditsapplicationintherecognitionoftypicalloesslandforms |