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We proposed a simple yet effective morphological approach to convert a sparse Digital Elevation Model (DEM) to a dense Digital Elevation Model. The conversion is similar to that of the generation of high-resolution DEM from its…

Computer Vision and Pattern Recognition · Computer Science 2023-07-19 Geetika Barman , B. S. Daya Sagar

Digital Elevation Model (DEM), while providing a bare earth look, is heavily used in many applications including construction modeling, visualization, and GIS. Their registration techniques have not been explored much. Methods like…

Computer Vision and Pattern Recognition · Computer Science 2014-06-02 Suma Dawn , Vikas Saxena , Bhu Dev Sharma

Contour map has contour lines that are significant in building a Digital Elevation Model (DEM). During the digitization and pre-processing of contour maps, the contour line intersects with each other or break apart resulting in broken…

Computer Vision and Pattern Recognition · Computer Science 2024-12-23 Aroj Subedi , Pradip Ganesh , Sandip Mishra

High-resolution elevation data is essential for hydrological modeling, hazard assessment, and environmental monitoring; however, globally consistent, fine-scale Digital Elevation Models (DEMs) remain unavailable. Very high-resolution…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Osher Rafaeli , Tal Svoray , Ariel Nahlieli

The present study was aimed to create new methods for extraction and analysis of land elevation contour lines, automatic extraction of water bodies (river basins and lakes), from the digital elevation models (DEM) of a test area. And…

Other Computer Science · Computer Science 2017-12-07 B. G. Kodge , P. S. Hiremath

The identification and modeling of the terrain from point cloud data is an important component of Terrestrial Remote Sensing (TRS) applications. The main focus in terrain modeling is capturing details of complex geological features of…

Computer Vision and Pattern Recognition · Computer Science 2019-10-14 Lee Easson , Alireza Tavakkoli , Jonathan Greenberg

Large-scale terrain generation remains a labor-intensive task in computer graphics. We introduce Geodiffussr, a flow-matching pipeline that synthesizes text-guided texture maps while strictly adhering to a supplied Digital Elevation Map…

Graphics · Computer Science 2025-12-01 Tai Inui , Alexander Matsumura , Edgar Simo-Serra

Digital Elevation Models (DEMs) are vital datasets for geospatial applications such as hydrological modeling and environmental monitoring. However, conventional methods to generate DEM, such as using LiDAR and photogrammetry, require…

Image and Video Processing · Electrical Eng. & Systems 2025-12-01 Alif Ilham Madani , Riska A. Kuswati , Alex M. Lechner , Muhamad Risqi U. Saputra

Aerial image registration or matching is a geometric process of aligning two aerial images captured in different environments. Estimating the precise transformation parameters is hindered by various environments such as time, weather, and…

Computer Vision and Pattern Recognition · Computer Science 2021-07-20 Myeong-Seok Oh , Yong-Ju Lee , Seong-Whan Lee

Deep learning provides a powerful new approach to many computer vision tasks. Height prediction from aerial images is one of those tasks that benefited greatly from the deployment of deep learning which replaced old multi-view geometry…

Computer Vision and Pattern Recognition · Computer Science 2021-11-15 Elhousni Mahdi , Zhang Ziming , Huang Xinming

A procedure for constructing a digital elevation model (DEM) of the northern part of the Volga-Akhtuba interfluve is described. The basis of our DEM is the elevation matrix of Shuttle Radar Topography Mission (SRTM) for which we carried out…

Computer Vision and Pattern Recognition · Computer Science 2019-08-27 Anna Klikunova , Alexander Khoperskov

Procedural terrain generation is the process of generating a digital representation of terrain using a computer program or procedure, with little to no human guidance. This paper proposes a procedural terrain generation algorithm based on a…

Graphics · Computer Science 2022-10-27 Fong Yuan Lim , Yu Wei Tan , Anand Bhojan

Understanding the 3D geometric structure of the Earth's surface has been an active research topic in photogrammetry and remote sensing community for decades, serving as an essential building block for various applications such as 3D digital…

Computer Vision and Pattern Recognition · Computer Science 2022-11-21 Xiang Li , Mingyang Wang , Yi Fang

3D terrain models are essential in fields such as video game development and film production. Since surface color often correlates with terrain geometry, capturing this relationship is crucial to achieving realism. However, most existing…

Graphics · Computer Science 2025-12-18 Kazuki Higo , Toshiki Kanai , Yuki Endo , Yoshihiro Kanamori

Geometric rectification of images of distorted documents finds wide applications in document digitization and Optical Character Recognition (OCR). Although smoothly curved deformations have been widely investigated by many works, the most…

Computer Vision and Pattern Recognition · Computer Science 2022-12-19 Dong Luo , Pengbo Bo

In this paper I describe a simple numerical procedure to compute synthetic horizon altitude profiles for any given site. The method makes use of a simplified model of local Earth's curvature, and it is based on the availability of digital…

History and Philosophy of Physics · Physics 2015-05-28 Ferdinando Patat

Contour maps are widely used to display estimates of spatial fields. Instead of showing the estimated field, a contour map only shows a fixed number of contour lines for different levels. However, despite the ubiquitous use of these maps,…

Methodology · Statistics 2016-07-11 David Bolin , Finn Lindgren

Cartograms depict geographic regions with areas proportional to quantitative data. However, when created using density-equalizing map projections, cartograms may exhibit invalid topologies if boundary polygons are drawn using only a finite…

Computational Geometry · Computer Science 2026-01-21 Nihal Z. Miaji , Adi Singhania , Matthias E. Goh , Callista Le , Atima Tharatipyakul , Michael T. Gastner

This work shows a procedural method for extracting object heights from LiDAR and aerial imagery. We discuss how to get heights and the future of LiDAR and imagery processing. SOTA object segmentation allows us to take get object heights…

Computer Vision and Pattern Recognition · Computer Science 2024-08-05 Jesus Guerrero

Supervised and unsupervised homography estimation methods depend on image pairs tailored to specific modalities to achieve high accuracy. However, their performance deteriorates substantially when applied to unseen modalities. To address…

Computer Vision and Pattern Recognition · Computer Science 2026-03-05 Jinkun You , Jiaxin Cheng , Jie Zhang , Yicong Zhou
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