Articles with "height estimation" as a keyword



Estimation of the height of monocular satellite remote sensing images based on semantic information guidance

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Published in 2025 at "Remote Sensing Letters"

DOI: 10.1080/2150704x.2025.2478663

Abstract: ABSTRACT With the wide application of deep learning in visual perception, height estimation has become a research hotspot in remote sensing. A monocular height estimation method based on semantic information enhancement is proposed for satellite… read more here.

Keywords: information; remote sensing; height estimation; semantic information ... See more keywords
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Radar Forest Height Estimation in Mountainous Terrain Using Tandem-X Coherence Data

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Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2018.2866059

Abstract: In this paper, we consider the problem of radar estimation of forest canopy height in regions with dense forests and severe topography. We combine a reference digital elevation model with multiple satellite baselines from ascending… read more here.

Keywords: estimation; coherence; radar; height estimation ... See more keywords

A Relation Aware and Edge Preserving Height Refinement Network for Single-View Height Estimation From Remote Sensing Images

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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3567064

Abstract: The height information of different semantic objects is crucial for urban understanding and three-dimensional (3-D) reconstruction. Fine-grained height maps provide essential details for localization, mapping, and 3-D modeling. However, single-view height estimation from remote sensing… read more here.

Keywords: relation; edge; height estimation; estimation ... See more keywords

Morphological-Priors-Guided Network With Semantic Booster and Scalable Bins Module for Height Estimation From Single-View Remote Sensing Images

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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3582823

Abstract: Geographic height information describes the vertical spatial structure of the city and serves as important foundational data for urban management. Obtaining height information from single-view remote sensing images is a relatively low-cost and convenient approach.… read more here.

Keywords: morphological priors; remote sensing; height estimation; view remote ... See more keywords

SFobNet: An Improved Swin Transformer Integrating Urban Functional Zones for Object-Level Building Height Estimation From Sentinel-2 Images

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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3619085

Abstract: Building height is a critical parameter in modeling urban spatial structures, serving as an essential basis for interpreting urban form and evaluating spatial efficiency. Despite the remarkable progress in building height estimation, most existing methods… read more here.

Keywords: building; level; building height; height estimation ... See more keywords

A Structure-Preserving Multiview Stereo Network for Edge-Aware Height Estimation From Satellite Images

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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3626009

Abstract: Accurate height estimation from satellite imagery is essential for digital surface model (DSM) generation in remote sensing applications. Although recent deep learning-based multiview stereo (MVS) methods have advanced height prediction, they often struggle with edge… read more here.

Keywords: edge; estimation satellite; height estimation; estimation ... See more keywords

Rethinking Monocular Height Estimation From a Classification Task Perspective Leveraging the Vision Transformer

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3222457

Abstract: Height estimation from a single remote sensing image has great potential in generating digital surface models (DSMs) efficiently for a quick Earth surface reconstruction. Recently, convolutional neural networks (CNNs) have emerged as a powerful method… read more here.

Keywords: estimation; classification task; bin subdivision; height estimation ... See more keywords

Target Height Estimation and Shape Reconstruction in Multiple High-Resolution Drone-Borne SAR Images Through Shadows Extraction

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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3570501

Abstract: This article deals with the exploitation of shadow regions in high-resolution drone-borne synthetic aperture radar (SAR) images and using them for accurate target height and shape estimation. While previous research has shown the potential of… read more here.

Keywords: target height; sar; drone borne; drone ... See more keywords

A Practical Hybrid Height Estimation Algorithm Based on FM-Aided Motion Mode Recognition

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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2023.3239645

Abstract: Height estimation is critical for precise indoor localization in multistorey buildings. Traditionally, it is achieved by the barometric altimetry (BA)-based method, whose accuracy suffers from ambient barometric pressure fluctuations. Zero-velocity-update (ZUPT)-aided acceleration integration is another… read more here.

Keywords: motion; based method; estimation; hybrid height ... See more keywords

A detailed study on human height estimation model that combines video surveillance systems with 3D laser scanning

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Published in 2024 at "Journal of Forensic Sciences"

DOI: 10.1111/1556-4029.15564

Abstract: The increase of video surveillance systems has highlighted the interest in forensic anthropometric analysis of subjects who commit crimes and are captured by cameras during their criminal activities. There are different methodologies for human height… read more here.

Keywords: surveillance systems; human height; video surveillance; height estimation ... See more keywords

Sample selection bias due to omitting short trees for tree height estimation in forest inventories: A case study on Pinus koraiensis plantations in South Korea

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Published in 2025 at "PLOS One"

DOI: 10.1371/journal.pone.0321160

Abstract: This study investigates the impact of omitting short tree data on tree height estimation in conventional forest inventories, focusing on Pinus koraiensis plantations in South Korea. Twenty height-diameter models were tested on both datasets: the… read more here.

Keywords: height estimation; sample; short tree; tree height ... See more keywords