Beyond supervised learning in remote sensing: A systematic review of deep learning approaches

B Hosseiny, M Mahdianpari, M Hemati… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
An increasing availability of remote sensing data in the era of geo big-data makes producing
well-represented, reliable training data to be more challenging and requires an excessive …

[HTML][HTML] The use of artificial intelligence and satellite remote sensing in land cover change detection: Review and perspectives

Z Gu, M Zeng - Sustainability, 2024 - mdpi.com
The integration of Artificial Intelligence (AI) and Satellite Remote Sensing in Land Cover
Change Detection (LCCD) has gained increasing significance in scientific discovery and …

The changes of spatiotemporal pattern of rocky desertification and its dominant driving factors in typical karst mountainous areas under the background of global …

B Guo, F Yang, J Fan, Y Lu - Remote Sensing, 2022 - mdpi.com
There are significant differences in the dominant driving factors of rocky desertification
evolution in different historical periods in southwest karst mountainous areas. However …

[HTML][HTML] A deep transfer learning model for green environment security analysis in smart city

M Sahu, R Dash, SK Mishra, M Humayun… - Journal of King Saud …, 2024 - Elsevier
Green environmental security refers to the state of human-environment interactions that
include reducing resource shortages, pollution, and biological dangers that can cause …

Semantic segmentation of land cover in urban areas by fusing multi-source satellite image time series

J Yan, J Liu, D Liang, Y Wang, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the complex and highly heterogeneous land cover in urban areas, the single-
temporal pixel-wise and parcel-wise classification cannot realize high-precision recognition …

Response and multi-scenario prediction of carbon storage and habitat quality to land use in liaoning Province, China

DF Ren, AH Cao, F Wang - Sustainability, 2023 - mdpi.com
Liaoning Province, as an old industrial urban agglomeration since the founding of China, is
an important link between the Bohai Economic Zone and the Northeast Economic Zone, and …

Multi-scale conditional diffusion model for deposited droplet volume measurement in inkjet printing manufacturing

Z Zhang, H Yang, J Chen, Z Yin - Journal of Manufacturing Systems, 2023 - Elsevier
The volume consistency of deposited droplets is regarded as a core quality evaluation to
achieve zero-defect manufacturing (ZDM) in inkjet printed organic light-emitting diode …

SAR-TSCC: A novel approach for long time series SAR image change detection and pattern analysis

W Li, P Ma, H Wang, C Fang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Change detection has played an increasingly important role in multitemporal remote
sensing applications recently. Long time series analysis is providing new information of land …

An algorithm of forest age estimation based on the forest disturbance and recovery detection

Z Huang, X Li, H Du, W Zou, G Zhou… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Forest age is a crucial parameter for evaluating the state and potential of carbon
sequestration in forest ecosystems. However, the lack of a time-series forest age will lead to …

Spatiotemporal conflict analysis and prediction of long time series land cover changes in the black soil region of Northeast China using remote sensing and GIS

D Ma, S Jiang, X Tan, M Yang, Q Jiao, L Xu - ISPRS International Journal …, 2023 - mdpi.com
Using remote sensing and GIS techniques to monitor long time series land cover changes is
of great significance to understanding the impact of human activities on spatiotemporal …