Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery

D He, Q Shi, X Liu, Y Zhong, G Xia… - GIScience & Remote …, 2022 - Taylor & Francis
High resolution of global land cover dynamic is indicative for understanding the influence of
anthropogenic activity on environmental change. However, most of the land cover products …

Very fine spatial resolution urban land cover mapping using an explicable sub-pixel mapping network based on learnable spatial correlation

D He, Q Shi, J Xue, PM Atkinson, X Liu - Remote Sensing of Environment, 2023 - Elsevier
Sub-pixel mapping is the prevailing approach for dealing with the mixed pixel effect in urban
land use/land cover classification, by reconstructing the sub-pixel-scale distribution inside …

A full-level fused cross-task transfer learning method for building change detection using noise-robust pretrained networks on crowdsourced labels

Y Cao, X Huang - Remote Sensing of Environment, 2023 - Elsevier
Accurate building change detection is crucial for understanding urban development.
Although fully supervised deep learning-based methods for building change detection have …

SiamHYPER: Learning a hyperspectral object tracker from an RGB-based tracker

Z Liu, X Wang, Y Zhong, M Shu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Hyperspectral videos can provide the spatial, spectral, and motion information of targets,
which makes it possible to track camouflaged targets that are similar to the background …

[HTML][HTML] Generating 2m fine-scale urban tree cover product over 34 metropolises in China based on deep context-aware sub-pixel mapping network

D He, Q Shi, X Liu, Y Zhong, L Zhang - International Journal of Applied …, 2022 - Elsevier
Contrast to the global forest, few trees live in cities but contribute significantly to urban
environment and human health. However, the classical satellite-derived land cover/forest …

Deep subpixel mapping based on semantic information modulated network for urban land use mapping

D He, Q Shi, X Liu, Y Zhong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mixed pixel problem is omnipresent in remote sensing images for urban land use
interpretation due to the hardware limitations. Subpixel mapping (SPM) is a usual way to …

Landslide detection mapping employing CNN, ResNet, and DenseNet in the three gorges reservoir, China

T Liu, T Chen, R Niu, A Plaza - IEEE Journal of Selected Topics …, 2021 - ieeexplore.ieee.org
Landslide detection mapping (LDM) is the basis of the field of landslide disaster prevention;
however, it has faced certain difficulties. The Three Gorges Reservoir area of the Yangtze …

Road extraction from satellite imagery by road context and full-stage feature

Z Yang, D Zhou, Y Yang, J Zhang… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Road extraction from satellite imagery is vital in a broad range of applications. However,
extracting complete roads is challenging due to road occlusions caused by the …

Spatial validation of spectral unmixing results: A systematic review

RM Cavalli - Remote Sensing, 2023 - mdpi.com
The pixels of remote images often contain more than one distinct material (mixed pixels),
and so their spectra are characterized by a mixture of spectral signals. Since 1971, a shared …

TransRoadNet: A novel road extraction method for remote sensing images via combining high-level semantic feature and context

Z Yang, D Zhou, Y Yang, J Zhang… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Road extraction is a significant research hotspot in the area of remote sensing images.
Extracting an accurate road network from remote sensing images is still challenging …