OpenStreetMap Data Quality Assessment via Deep Learning and Remote Sensing Imagery
Sign Up to like & getrecommendations! 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
Automatic Road Extraction From Remote Sensing Imagery Using Ensemble Learning and Postprocessing
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Gradient Enhanced Dual Regression Network: Perception-Preserving Super-Resolution for Multi-Sensor Remote Sensing Imagery
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Progressive Context-Dependent Inference for Object Detection in Remote Sensing Imagery
Sign Up to like & getrecommendations! 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