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2025 | OriginalPaper | Buchkapitel

An Effort Toward Localization and Recognition of Elevation Values in a Topographic Sheet

verfasst von : Ashis Pradhan, Sneha Supriya, Mohan P. Pradhan, Ratika Pradhan

Erschienen in: Advances in Communication, Devices and Networking

Verlag: Springer Nature Singapore

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Abstract

This study focuses on efficient elevation value localization and recognition in topographic sheets (TS) through morphological operations and YOLO-based deep learning. The aim is to enhance the digitization process, crucial for creating Digital Elevation Models (DEMs) widely used in various applications.

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Literatur
1.
Zurück zum Zitat Li H, Liu J, Zhou X (2018) Intelligent map reader: a framework for topographic map understanding with deep learning and gazetteer. IEEE Access 6:25363–25376CrossRef Li H, Liu J, Zhou X (2018) Intelligent map reader: a framework for topographic map understanding with deep learning and gazetteer. IEEE Access 6:25363–25376CrossRef
2.
Zurück zum Zitat Lichtner W (1988) Automatic digitization of conventional maps and cartographic pattern recognition. ISPRS Archives, pp 218–226 Lichtner W (1988) Automatic digitization of conventional maps and cartographic pattern recognition. ISPRS Archives, pp 218–226
3.
Zurück zum Zitat Xu B, Chen J, Yao M (2016) Identification of contour lines from average-quality scanned topographic maps. Math Probl Eng 2016:1–14 Xu B, Chen J, Yao M (2016) Identification of contour lines from average-quality scanned topographic maps. Math Probl Eng 2016:1–14
4.
Zurück zum Zitat Li C, Guo P, Wu P, Liu X (2018) Extraction of terrain feature lines from elevation contours using a directed adjacent relation tree. ISPRS Int J Geo Inf 7:163CrossRef Li C, Guo P, Wu P, Liu X (2018) Extraction of terrain feature lines from elevation contours using a directed adjacent relation tree. ISPRS Int J Geo Inf 7:163CrossRef
5.
Zurück zum Zitat Kakavas MP, Nikolakopoulos KG (2021) Digital elevation models of rockfalls and landslides: a review and meta-analysis. Geosciences 11:256CrossRef Kakavas MP, Nikolakopoulos KG (2021) Digital elevation models of rockfalls and landslides: a review and meta-analysis. Geosciences 11:256CrossRef
6.
Zurück zum Zitat Zhang Y, Yu W, Zhu D (2022) Terrain feature-aware deep learning network for digital elevation model superresolution. ISPRS J Photogramm Remote Sens 189:143–162CrossRef Zhang Y, Yu W, Zhu D (2022) Terrain feature-aware deep learning network for digital elevation model superresolution. ISPRS J Photogramm Remote Sens 189:143–162CrossRef
7.
Zurück zum Zitat Yadav S, Indu J (2016) Estimation of vertical accuracy of digital elevation models over complex terrains of Indian subcontinent. In: 2016 IEEE international geoscience and remote sensing symposium (IGARSS) Yadav S, Indu J (2016) Estimation of vertical accuracy of digital elevation models over complex terrains of Indian subcontinent. In: 2016 IEEE international geoscience and remote sensing symposium (IGARSS)
8.
Zurück zum Zitat Tabunshchik V, Gorbunov R, Gorbunova T, Pham CN, Klyuchkina A (2023) Identification of river basins within northwestern slope of Crimean mountains using various digital elevation models (ASTER GDEM, ALOS World 3D, Copernicus DEM, and SRTM DEM). Front Earth Sci, vol 11 Tabunshchik V, Gorbunov R, Gorbunova T, Pham CN, Klyuchkina A (2023) Identification of river basins within northwestern slope of Crimean mountains using various digital elevation models (ASTER GDEM, ALOS World 3D, Copernicus DEM, and SRTM DEM). Front Earth Sci, vol 11
9.
Zurück zum Zitat Setterfield TP, Hewitt RA, Chen P-T, Espinoza AT, Trawny N, Katake A (2021) LiDAR-inertial based navigation and mapping for precision landing. In: 2021 IEEE aerospace conference (50100) Setterfield TP, Hewitt RA, Chen P-T, Espinoza AT, Trawny N, Katake A (2021) LiDAR-inertial based navigation and mapping for precision landing. In: 2021 IEEE aerospace conference (50100)
10.
Zurück zum Zitat Hook JV, Schwartz R, Ebadi K, Coble K, Padgett C (2022) Topographical landmarks for ground-level terrain relative navigation on mars. In: 2022 IEEE aerospace conference (AERO) Hook JV, Schwartz R, Ebadi K, Coble K, Padgett C (2022) Topographical landmarks for ground-level terrain relative navigation on mars. In: 2022 IEEE aerospace conference (AERO)
11.
Zurück zum Zitat Bertone A, Jones N, Mair V, Scotti R, Strozzi T, Brardinoni F (2023) A climate-driven, altitudinal transition in rock glacier dynamics detected through integration of geomorphological mapping and InSAR-based kinematics Bertone A, Jones N, Mair V, Scotti R, Strozzi T, Brardinoni F (2023) A climate-driven, altitudinal transition in rock glacier dynamics detected through integration of geomorphological mapping and InSAR-based kinematics
12.
Zurück zum Zitat Aziz KMA, Rashwan KS (2022) Comparison of different resolutions of six free online DEMs with GPS elevation data on a new 6th of October City, Egypt. Arab J Geosci, vol. 15 Aziz KMA, Rashwan KS (2022) Comparison of different resolutions of six free online DEMs with GPS elevation data on a new 6th of October City, Egypt. Arab J Geosci, vol. 15
13.
Zurück zum Zitat Kramm T (2022) Uncertainties in digital elevation models: evaluation and effects on landform and soil type classification Kramm T (2022) Uncertainties in digital elevation models: evaluation and effects on landform and soil type classification
14.
Zurück zum Zitat Pezeshk A, Tutwiler RL (2011) Automatic feature extraction and text recognition from scanned topographic maps. IEEE Trans Geosci Remote Sens 49:5047–5063CrossRef Pezeshk A, Tutwiler RL (2011) Automatic feature extraction and text recognition from scanned topographic maps. IEEE Trans Geosci Remote Sens 49:5047–5063CrossRef
15.
Zurück zum Zitat Kweon IS, Kanade T (1994) Extracting topographic terrain features from elevation maps. CVGIP: Image Understand 59: 171–182 Kweon IS, Kanade T (1994) Extracting topographic terrain features from elevation maps. CVGIP: Image Understand 59: 171–182
16.
Zurück zum Zitat Yakar M, Ulvi A, Yiğit AY, Alptekin A (2022) Discontinuity set extraction from 3D point clouds obtained by UAV photogrammetry in a rockfall site. Surv Rev 55:416–428CrossRef Yakar M, Ulvi A, Yiğit AY, Alptekin A (2022) Discontinuity set extraction from 3D point clouds obtained by UAV photogrammetry in a rockfall site. Surv Rev 55:416–428CrossRef
17.
Zurück zum Zitat Ganpatrao NG, Ghosh JK (2014) Information extraction from topographic map using colour and shape analysis. Sadhana 39:1095–1117CrossRef Ganpatrao NG, Ghosh JK (2014) Information extraction from topographic map using colour and shape analysis. Sadhana 39:1095–1117CrossRef
18.
Zurück zum Zitat Dilhan PAN, Siyambalapitiya R (2022) Geological map feature extraction using object detection techniques—a comparative analysis. I-Manager’s J Image Process 9:28 Dilhan PAN, Siyambalapitiya R (2022) Geological map feature extraction using object detection techniques—a comparative analysis. I-Manager’s J Image Process 9:28
19.
Zurück zum Zitat Atit K, Weisberg SM, Newcombe NS, Shipley TF (2016) Learning to interpret topographic maps: understanding layered spatial information. Cognit Res: Princ Implic, vol 1 Atit K, Weisberg SM, Newcombe NS, Shipley TF (2016) Learning to interpret topographic maps: understanding layered spatial information. Cognit Res: Princ Implic, vol 1
20.
Zurück zum Zitat Atit K, Weisberg SM, Newcombe NS, Shipley TF (2016) Learning to interpret topographic maps: understanding layered spatial information. Cognit Res: Princ Implic 1:1–18 Atit K, Weisberg SM, Newcombe NS, Shipley TF (2016) Learning to interpret topographic maps: understanding layered spatial information. Cognit Res: Princ Implic 1:1–18
21.
Zurück zum Zitat Habib M (2021) Evaluation of DEM interpolation techniques for characterizing terrain roughness. CATENA 198:105072CrossRef Habib M (2021) Evaluation of DEM interpolation techniques for characterizing terrain roughness. CATENA 198:105072CrossRef
22.
Zurück zum Zitat Gao X, Chen T, Niu R, Plaza A (2021) Recognition and mapping of landslide using a fully convolutional DenseNet and influencing factors. IEEE J Sel Top Appl Earth Observ Remote Sens 14:7881–7894CrossRef Gao X, Chen T, Niu R, Plaza A (2021) Recognition and mapping of landslide using a fully convolutional DenseNet and influencing factors. IEEE J Sel Top Appl Earth Observ Remote Sens 14:7881–7894CrossRef
23.
Zurück zum Zitat Lin S, Chen N, He Z (2021) Automatic landform recognition from the perspective of watershed spatial structure based on digital elevation models. Remote Sens 13:3926CrossRef Lin S, Chen N, He Z (2021) Automatic landform recognition from the perspective of watershed spatial structure based on digital elevation models. Remote Sens 13:3926CrossRef
24.
Zurück zum Zitat Kasri JE, Lahmili A, Bouajaj A, Soussi H (2023) The application of remote sensing and GIS tools in mapping of flood risk areas in the Souss Watershed Morocco. In: Proceedings of eighth international congress on information and communication technology, Springer Nature Singapore, pp 275–295 Kasri JE, Lahmili A, Bouajaj A, Soussi H (2023) The application of remote sensing and GIS tools in mapping of flood risk areas in the Souss Watershed Morocco. In: Proceedings of eighth international congress on information and communication technology, Springer Nature Singapore, pp 275–295
25.
Zurück zum Zitat Aumann G, Ebner H, Tang L (1991) Automatic derivation of skeleton lines from digitized contours. ISPRS J Photogramm Remote Sens 46:259–268CrossRef Aumann G, Ebner H, Tang L (1991) Automatic derivation of skeleton lines from digitized contours. ISPRS J Photogramm Remote Sens 46:259–268CrossRef
26.
Zurück zum Zitat Pradhan A, Pradhan MP (2021) Automatic localization of elevation values in a poor quality topographic map. Int J Image Gr 21:2150009CrossRef Pradhan A, Pradhan MP (2021) Automatic localization of elevation values in a poor quality topographic map. Int J Image Gr 21:2150009CrossRef
27.
Zurück zum Zitat Pokonieczny K, Borkowska S (2019) Using artificial neural network for labelling polygon features in topographic maps. GeoScape 13:125–131CrossRef Pokonieczny K, Borkowska S (2019) Using artificial neural network for labelling polygon features in topographic maps. GeoScape 13:125–131CrossRef
28.
Zurück zum Zitat Tewari A, Verma V, Srivastava P, Jain V, Khanna N (2022) Automated crater detection from co-registered optical images, elevation maps and slope maps using deep learning. Planet Space Sci 218:105500CrossRef Tewari A, Verma V, Srivastava P, Jain V, Khanna N (2022) Automated crater detection from co-registered optical images, elevation maps and slope maps using deep learning. Planet Space Sci 218:105500CrossRef
29.
Zurück zum Zitat Mir RN, Sharma VK, Rout RK, Umer S (2023) Advancement of deep learning and its applications in object detection and recognition, River Publishers Mir RN, Sharma VK, Rout RK, Umer S (2023) Advancement of deep learning and its applications in object detection and recognition, River Publishers
30.
Zurück zum Zitat Liu X, Wang D, Li Y, Guan X, Qin C (2022) Detection of green asparagus using improved mask R-CNN for automatic harvesting. Sensors 22:9270CrossRef Liu X, Wang D, Li Y, Guan X, Qin C (2022) Detection of green asparagus using improved mask R-CNN for automatic harvesting. Sensors 22:9270CrossRef
31.
Zurück zum Zitat Kong Y, Wang Y, Guo S, Wang J (2021) A mountain summit recognition method based on improved faster R-CNN. Complexity 2021:1–10CrossRef Kong Y, Wang Y, Guo S, Wang J (2021) A mountain summit recognition method based on improved faster R-CNN. Complexity 2021:1–10CrossRef
32.
Zurück zum Zitat Pradhan A, Niaz SY, Pradhan MP, Pradhan R (2022) Detection and recognition of texts features from a topographic map using deep learning. Suranaree J Sci Technol 29(5):1 Pradhan A, Niaz SY, Pradhan MP, Pradhan R (2022) Detection and recognition of texts features from a topographic map using deep learning. Suranaree J Sci Technol 29(5):1
33.
Zurück zum Zitat Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: unified, real-time object detection. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR) Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: unified, real-time object detection. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR)
34.
Zurück zum Zitat Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Fu C-Y, Berg A C (2016) SSD: single shot multibox detector. In: Computer Vision—ECCV 2016, Springer International Publishing, pp 21–37 Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Fu C-Y, Berg A C (2016) SSD: single shot multibox detector. In: Computer Vision—ECCV 2016, Springer International Publishing, pp 21–37
Metadaten
Titel
An Effort Toward Localization and Recognition of Elevation Values in a Topographic Sheet
verfasst von
Ashis Pradhan
Sneha Supriya
Mohan P. Pradhan
Ratika Pradhan
Copyright-Jahr
2025
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-6465-5_15