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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Main Authors: Sheng Jiang, Xiaoli Huang, Ling Jiang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/9/2282
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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.
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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