Beyond supervised learning in remote sensing: A systematic review of deep learning approaches
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 …
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 …
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 …
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
Green environmental security refers to the state of human-environment interactions that
include reducing resource shortages, pollution, and biological dangers that can cause …
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
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 …
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 …
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 …
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
Change detection has played an increasingly important role in multitemporal remote
sensing applications recently. Long time series analysis is providing new information of land …
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 …
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 …
of great significance to understanding the impact of human activities on spatiotemporal …