Remote sensing and geostatistics in urban water-resource monitoring: a review

Z Liu, J Xu, M Liu, Z Yin, X Liu, L Yin… - Marine and Freshwater …, 2023 - CSIRO Publishing
Context At present, many cities are facing severe water-resources problems caused by
urbanisation. With the development of remote sensing and geostatistics, they have been …

[HTML][HTML] Climate change: Strategies for mitigation and adaptation

F Wang, JD Harindintwali, K Wei, Y Shan… - The Innovation …, 2023 - the-innovation.org
The sustainability of life on Earth is under increasing threat due to human-induced climate
change. This perilous change in the Earth's climate is caused by increases in carbon dioxide …

Rethinking transformers for semantic segmentation of remote sensing images

Y Liu, Y Zhang, Y Wang, S Mei - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Transformer has been widely applied in image processing tasks as a substitute for
convolutional neural networks (CNNs) for feature extraction due to its superiority in global …

HIR-Diff: Unsupervised hyperspectral image restoration via improved diffusion models

L Pang, X Rui, L Cui, H Wang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Hyperspectral image (HSI) restoration aims at recovering clean images from degraded
observations and plays a vital role in downstream tasks. Existing model-based methods …

[HTML][HTML] Active and low-cost hyperspectral imaging for the spectral analysis of a low-light environment

Y Tang, S Song, S Gui, W Chao, C Cheng, R Qin - Sensors, 2023 - mdpi.com
Hyperspectral imaging is capable of capturing information beyond conventional RGB
cameras; therefore, several applications of this have been found, such as material …

Trustworthy remote sensing interpretation: Concepts, technologies, and applications

S Wang, W Han, X Huang, X Zhang, L Wang… - ISPRS Journal of …, 2024 - Elsevier
Geographic spaces is a vast and complex system involving multiple elements and nonlinear
interactions of these elements, and rich in geographical phenomena, processes and …

Foundation model-based multimodal remote sensing data classification

X He, Y Chen, L Huang, D Hong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the increasing availability and openness of remote sensing (RS) data collected from
diverse sensors, there has been a growing interest in multimodal RS data classification …

[HTML][HTML] Map** and monitoring of land cover/land use (LCLU) changes in the crozon peninsula (Brittany, France) from 2007 to 2018 by machine learning algorithms …

G ** of ecological environment based on Google earth engine cloud computing platform and landsat long-term data: A case study of the zhoushan …
C Chen, L Wang, G Yang, W Sun, Y Song - Remote Sensing, 2023 - mdpi.com
In recent years, with the rapid advancement of China's urbanization, the contradiction
between urban development and the ecological environment has become increasingly …

Application of a novel remote sensing ecological index (RSEI) based on geographically weighted principal component analysis for assessing the land surface …

J Mondal, T Basu, A Das - Environmental Science and Pollution Research, 2024 - Springer
In evaluating the integrated remote sensing-based ecological index (RSEIPCA), principal
component analysis (PCA) has been extensively utilized. However, the conventional PCA …