Article
Engineering, Electrical & Electronic
Kannan Nagajothi, Sravan Danda, Aditya Challa, B. S. Daya Sagar
Summary: The study focuses on the analysis of rivers using digital elevation models (DEMs) and introduces a roughness measure called multiscale directional granulometric index (MDGI). The article provides a theoretical analysis of MDGI and identifies conditions under which it fails to classify distinct DEMs. It also demonstrates the effectiveness of MDGI features in distinguishing between different river sub-basins.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Peter L. Guth, Adriaan Van Niekerk, Carlos H. Grohmann, Jan-Peter Muller, Laurence Hawker, Igor V. Florinsky, Dean Gesch, Hannes I. Reuter, Virginia Herrera-Cruz, Serge Riazanoff, Carlos Lopez-Vazquez, Claudia C. Carabajal, Clement Albinet, Peter Strobl
Summary: Digital elevation models (DEMs) provide fundamental depictions of the Earth’s shape and are influenced by various spheres including the hydrosphere, cryosphere, biosphere, and anthroposphere. The treatment of DEM surfaces depends on their intended use and sensor characteristics. Different types of DEMs have varying vertical datums and data spacings, highlighting the importance of understanding and reflecting on their characteristics for users.
Article
Environmental Sciences
Jana Maresova, Katerina Gdulova, Petra Pracna, David Moravec, Lukas Gabor, Jiri Prosek, Vojtech Bartak, Vitezslav Moudry
Summary: This study evaluated the accuracy of global DEMs TanDEM-X DEM and Copernicus DEM in three major European mountain ranges, identifying large errors in TanDEM-X DEM and showcasing the success of the editing process in Copernicus DEM. The study also highlighted the importance of considering collection time when filling problematic sites with alternative DEMs to minimize temporal displacements.
Article
Environmental Sciences
Christopher J. Amante, Matthew Love, Kelly Carignan, Michael G. Sutherland, Michael MacFerrin, Elliot Lim
Summary: The National Centers for Environmental Information (NCEI) of NOAA generates digital elevation models (DEMs) that are crucial for coastal inundation determination and improving community preparedness and warning systems. The Continuously Updated DEM (CUDEM) Program provides high-resolution and seamless DEMs for various coastal regions in the United States, using a standardized process and open-source software. The CUDEM framework allows for rapid updates and incorporation of new data collections, aiming to enhance the accuracy and usefulness of the DEMs.
Article
Engineering, Electrical & Electronic
Xiaochuan Ma, Houpu Li, Zhanlong Chen
Summary: This article proposes a novel feature-enhanced deep learning network (FEN) to address the challenge of capturing sufficient local features in complex regions for DEM super-resolution tasks. The FEN integrates global and local feature extraction modules to achieve state-of-the-art performance in DEM super-resolution tasks and improve elevation accuracy.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Jiayang Zhao, Hui Li
Summary: This paper proposes a new robust approach to integrate optical images and digital elevation models (DEMs) by utilizing terrain features for registration. The multimodal registration is performed on the optical data and simulated image to maximize the accuracy of feature matching. Experimental results demonstrate that this method can achieve robust registration for optical-DEM images with high subpixel-level accuracy.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Maryam Roostaee, Zhiqiang Deng
Summary: This study investigates how DEMs from three different sources affect model-simulated flow, nitrate, phosphorus, and sediment. It is found that the uncertainties in simulation results induced by different DEM sources are higher than those induced by DEM resolution, regardless of watershed slope or delineation method. DEM source introduces higher uncertainties in simulation results for low-gradient watersheds than high-gradient watersheds. Sediment and NO3 concentrations are the most and the least sensitive water quality parameters to DEM sources, respectively. The use of high precision DEMs is recommended, especially for flat watersheds.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Geography, Physical
Yifan Zhang, Wenhao Yu, Di Zhu
Summary: This paper proposes a terrain feature-aware superresolution model (TfaSR) for terrain data superresolution, aiming to extract and optimize terrain features. Experimental results show that TfaSR achieves state-of-the-art performance in preserving terrain features during DEM SR.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Yiheng Cai, Zijun Yao, Shinan Lang, Xiangbin Cui, Fuxing Wan, Yanliang He
Summary: Understanding the subglacial bed topography is crucial for studying the geology and glaciology of Antarctica. This study proposes a two-stage fully convolutional neural network (CNN) method for generating detailed Antarctic bed digital elevation models (DEMs) using sparse radio-echo sounding (RES) data. The generated DEMs show more realistic terrain and elevation compared to existing DEMs, making them more suitable for glaciological research. The code for this work will be made available for reproducibility.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Mathematics
Eduardo Conde Lopez, Eduardo Salete Casino, Jesus Flores Escribano, Antonio Vargas Urena
Summary: In this article, a simple and efficient method for generating terrain surface using a structural shell finite element model is proposed. The methodology is especially suitable for data obtained from manual topographical tools, as it does not require a large number of points. Several examples are provided to demonstrate the ease and accuracy of the method.
Article
Remote Sensing
Yehia Miky, Abdullah Kamel, Ahmed Alshouny
Summary: Digital Elevation Models (DEMs) are crucial in civil and environmental applications. This paper proposes an approach for improving digital terrain modeling based on contour line densification and Delaunay triangulation to acquire a more suitable DEM for hydrographic modeling. Experimental results indicate that the developed approach enhances terrain modeling, generates DEMs smoothly and effectively, and mitigates problems and reduces uncertainties.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Geochemistry & Geophysics
Binbin Li, Huan Xie, Xiaohua Tong, Hong Tang, Shijie Liu
Summary: This article proposes a DEM correction model using ICESat-2 data, which verifies DEM elevation errors in ICESat-2 coverage areas and evaluates error sources of global-scale DEMs. A regression model is then constructed to correct DEMs in areas without ICESat-2 coverage. Validation experiments show that the proposed model is suitable for global-scale DEM elevation correction.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Soil Science
A. J. Gibson, G. R. Hancock, D. Bretreger, T. Cox, J. Hughes, V Kunkel
Summary: This study examined the impact of DEM resolution on the relationship between topography and SOC, finding that SOC could be predicted using topography in a catchment-wide dataset but not in a finer-scale dataset. Elevation was identified as the main driver at the catchment scale, while topographic variables linked to soil redistribution were more important at finer scales. This suggests that SOC estimation methods using coarse resolution DEM data may have limitations in capturing the effect of topography, which could impact SOC management and modeling.
Article
Remote Sensing
Nahed Osama, Zhenfeng Shao, Yue Ma, Jianguo Yan, Yewen Fan, Shaimaa Magdy Habib, Mohamed Freeshah
Summary: This study assesses and enhances the accuracy of the ATL08 terrain product as a height reference for DEMs in vegetated mountainous areas. The results show that using uncertainty-based filtering method improves the accuracy of the ATL08 strong and weak beams. Slope has a significant impact on the accuracy of ATL08 height measurements.
GEO-SPATIAL INFORMATION SCIENCE
(2022)
Article
Environmental Studies
Hao Wang, Guanghui Hu, Junfei Ma, Hong Wei, Sijin Li, Guoan Tang, Liyang Xiong
Summary: In recent years, applications and analyses based on slope units have gained popularity due to their ability to better represent terrain features and boundaries compared to grid units. Maps based on slope units also offer significant improvements for disaster prediction and slope land resource analysis. However, existing classification methods have overlooked the importance of geomorphology. Therefore, a novel slope unit classification method that combines terrain feature lines derived from the meaning of geomorphology ontology is proposed, and its effectiveness is demonstrated through testing in two study areas.
Article
Engineering, Multidisciplinary
Litesh Bopche, Priti P. Rege
Summary: This study focuses on the mapping of landslide inventory using a digital elevation model and an Analytic Hierarchy Process (AHP) technique, utilizing various parameters to develop Landslide Susceptible Maps and Landslide Hazards Zonation maps. The research demonstrates high prediction accuracy and highlights the importance of susceptibility maps in identifying troublesome areas for landslide hazards, risk assessment, and planning.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2021)
Article
Engineering, Multidisciplinary
Shaheera Saba Mohd Naseem Akhter, Priti P. Rege
Summary: The study introduces a transfer learning-based multi-task deep learning architecture for preprocessing Devanagari document images, which can simultaneously handle three preprocessing tasks and outperforms traditional image processing methods, demonstrating excellent performance in experiments.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2021)
Article
Engineering, Geological
Litesh Bopche, Priti P. Rege
Summary: This study utilizes Cartosat-1 Digital Elevation Model and a knowledge-based numerical rating system to generate Landslide Hazards Zonation map and Landslide Susceptible Map using the Weight of Evidence technique. The results show that by combining remote sensing and numerical rating system, landslide susceptibility can be accurately predicted, providing valuable information for landslide disaster prevention and mitigation.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING
(2022)
Article
Remote Sensing
Litesh Bopche, Priti P. Rege
Summary: This research investigates the impact of noise reduction filters on the accuracy and quality of DEMs in undulating and hilly terrain regions, aiming to extract high-quality DEMs without the need for physical data collection. Using de-noised stereo images, the study compares altitude values with ground truth values and provides information on the optimum number of ATPs for different topographic conditions.
Article
Computer Science, Artificial Intelligence
Shaheera Saba Mohd Naseem Akhter, Priti P. Rege
Summary: This paper focuses on the optimization problem of the optical character recognition system for printed Devanagari scripts. The current system faces challenges in recognizing scanned Devanagari documents, as well as issues with randomly selecting hyperparameters and a lack of standardized datasets. The study optimizes the hyperparameters using Taguchi's method and compares the performance with the state-of-the-art CRNN network, showing that the Taguchi optimized system outperforms CRNN-based systems.
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING
(2023)
Article
Engineering, Multidisciplinary
Manjeeta Kale, Priti Rege
Summary: Facial expressions are crucial in theatrical performances, and this article introduces a facial expression analysis system that is based on the nine specific expressions described in ancient Indian literature. The system uses a combination of facial features and states to identify expressions and provides feedback to performers through an e-tutor system, helping them improve their expression skills.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2022)
Proceedings Paper
Engineering, Multidisciplinary
Prathamesh Kulkarni, Sarthak Umarani, Vaishnavi Diwan, Vishakha Korde, Priti P. Rege
Summary: This study focused on classifying child cries based on extracted features through speech and auditory processing. The model was trained using individual features and then retrained with the best selected features. Different classification models were used with a dataset of 457 samples from the Donate-a-cry corpus.
2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT)
(2021)
Proceedings Paper
Engineering, Multidisciplinary
Mayank, Swapnamoy Bhowmick, Disha Kotecha, Priti P. Rege
Summary: The text discusses different methodologies for text extraction, focusing on comparisons between two architectures. The EAST detector showed exceptional results due to its architecture and achieved an accuracy of around 78%.
2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT)
(2021)
Proceedings Paper
Engineering, Multidisciplinary
Anjali W. Pise, Priti P. Rege
Summary: This paper compares different filtering techniques for denoising EEG signals, and finds wavelet transform to be the most effective option in preserving signal frequency content and removing noise.
2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT)
(2021)
Article
Environmental Sciences
Samadhan C. Kulkarni, Priti P. Rege
Summary: The study aims to optimize the performance of SAR-multispectral image fusion using PCA-DWT method, evaluate the quality of the fused data, and examine the utility of fused data in land use classification. The proposed optimization in the PCA-DWT based fusion is demonstrated to be superior to conventional hybrid methods through comparative analysis.
JOURNAL OF APPLIED REMOTE SENSING
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Litesh Bopche, Priti P. Rege
2020 IEEE PUNE SECTION INTERNATIONAL CONFERENCE (PUNECON)
(2020)
