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   Articles with "sensing imagery" as a keyword



OpenStreetMap Data Quality Assessment via Deep Learning and Remote Sensing Imagery

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2957825

Abstract: The number of applications associated with OpenStreetMap (OSM), one of the most famous crowd-sourced projects for volunteered geographic information (VGI), have increased because OSM data is both ‘free’ and ‘up-to-date’. However, limited by the ability… read more here.

Keywords: remote sensing; quality; sensing imagery; imagery ... See more keywords
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Automatic Road Extraction From Remote Sensing Imagery Using Ensemble Learning and Postprocessing

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recommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3094673

Abstract: High-resolution satellite images contain valuable road semantic information, but the occlusion of vegetation and buildings and the sparse distribution and heterogeneous appearance of roads limit the accuracy of road extraction models. In this article, we… read more here.

Keywords: sensing imagery; road; remote sensing; ensemble learning ... See more keywords

Target Detection Model Distillation Using Feature Transition and Label Registration for Remote Sensing Imagery

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recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3188252

Abstract: Deep convolution networks have been widely used in remote sensing target detection for various applications in recent years. Target detection models with many parameters provide better results but are not suitable for resource-constrained devices due… read more here.

Keywords: sensing imagery; remote sensing; model; target detection ... See more keywords

Digital Surface Model Super-Resolution by Integrating High-Resolution Remote Sensing Imagery Using Generative Adversarial Networks

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3399544

Abstract: Digital surface model (DSM) is the fundamental data in various geoscience applications, such as city 3-D modeling and urban environment analysis. The freely available DSM often suffers from limited spatial resolution. Super-resolution (SR) is a… read more here.

Keywords: dsm; remote sensing; resolution; super resolution ... See more keywords

An Integrated Sample-Free Method for Agricultural Field Delineation From High-Resolution Remote Sensing Imagery

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

DOI: 10.1109/jstars.2025.3570750

Abstract: Accurate delineation of agricultural fields from remote sensing imagery is crucial for various precision agriculture and remote sensing applications. However, common learning-based delineation methods face problems related to limited sample availability and weak transferability. Conversely,… read more here.

Keywords: field; method; sample free; delineation ... See more keywords

SCPDNet: A Network for Landslide Detection Combining Deformable Attention and Multiscale Fusion in Remote Sensing Imagery

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recommendations! Published in 2026 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3632890

Abstract: Accurate segmentation of landslides from remote sensing imagery is crucial for timely disaster monitoring and effective emergency response. However, current deep learning methods struggle to achieve high segmentation accuracy in complex terrains, especially for small-scale… read more here.

Keywords: detection; scpdnet; attention; deformable attention ... See more keywords

Gradient Enhanced Dual Regression Network: Perception-Preserving Super-Resolution for Multi-Sensor Remote Sensing Imagery

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

DOI: 10.1109/lgrs.2021.3134798

Abstract: Most existing learning-based single image super-resolution (SISR) methods mainly focus on improving reconstruction accuracy, but they always generate overly smoothed results that fail to match the visual perception. Although perceptual quality can be greatly improved… read more here.

Keywords: remote sensing; sensing imagery; super resolution; gradient ... See more keywords

Associatively Segmenting Semantics and Estimating Height From Monocular Remote-Sensing Imagery

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3177796

Abstract: Numerous deep-learning methods have been successfully applied to semantic segmentation (SS) and height estimation (EH) of remote-sensing imagery. It has also been proved that such a framework can be reusable for multiple tasks to reduce… read more here.

Keywords: sensing imagery; remote sensing; semantics; task ... See more keywords

Damaged Building Detection From Post-Earthquake Remote Sensing Imagery Considering Heterogeneity Characteristics

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3200872

Abstract: Damaged building detection from remote sensing imagery helps to quickly and rapidly assess losses after an earthquake. In recent years, deep learning technology has become a favorable tool for remote sensing image information detection. Based… read more here.

Keywords: building detection; damaged building; remote sensing; sensing imagery ... See more keywords

RL-ISegNet: Refining Instance Segmentation for Remote Sensing Imagery via Iterative Reward Maximization With Limited Samples

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

DOI: 10.1109/tgrs.2025.3598943

Abstract: Instance segmentation of remote sensing imagery (RSI) is vital for applications like geographic information system (GIS) updates and urban planning. Due to RSI’s diversity (e.g., scale variations and complex object shapes), instance segmentation models require… read more here.

Keywords: instance segmentation; segmentation; remote sensing; segmentation remote ... See more keywords

Progressive Context-Dependent Inference for Object Detection in Remote Sensing Imagery

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recommendations! Published in 2023 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3231058

Abstract: Inspired by our observation that numerous objects of remote sensing imageries are extremely consistent in geometric characteristics (e.g., object sizes/angles/layouts), in this work, we propose a novel Progressive Context-dependent Inference (PCI) method to make full… read more here.

Keywords: remote sensing; sensing imagery; progressive context; object detection ... See more keywords