Bo Yu
Orcid: 0000-0003-1197-2764Affiliations:
- Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Laboratory of Digital Earth Sciences, Beijing, China
According to our database1,
Bo Yu
authored at least 32 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
SOENet: a multi-resolution network for sheep extraction from high-resolution remote sensing images.
Int. J. Digit. Earth, December, 2024
CG-CFPANet: a multi-task network for built-up area extraction from SDGSAT-1 and Sentinel-2 remote sensing images.
Int. J. Digit. Earth, December, 2024
HRTBDA: a network for post-disaster building damage assessment based on remote sensing images.
Int. J. Digit. Earth, December, 2024
Remote. Sens., July, 2024
UGTransformer: A Sheep Extraction Model From Remote Sensing Images for Animal Husbandry Management.
IEEE Trans. Geosci. Remote. Sens., 2024
Swin Transformer-Based Multiscale Attention Model for Landslide Extraction From Large-Scale Area.
IEEE Trans. Geosci. Remote. Sens., 2024
2022
Res2-Unet, a New Deep Architecture for Building Detection From High Spatial Resolution Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
A Network for Landslide Detection Using Large-Area Remote Sensing Images with Multiple Spatial Resolutions.
Remote. Sens., 2022
A Cluster-Based Partition Method of Remote Sensing Data for Efficient Distributed Image Processing.
Remote. Sens., 2022
A Strategy of Parallel SLIC Superpixels for Handling Large-Scale Images over Apache Spark.
Remote. Sens., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Operation Status Comparison Monitoring of China's Southeast Asian Industrial Parks before and after COVID-19 Using Nighttime Lights Data.
ISPRS Int. J. Geo Inf., 2022
SNNFD, spiking neural segmentation network in frequency domain using high spatial resolution images for building extraction.
Int. J. Appl. Earth Obs. Geoinformation, 2022
HADeenNet: A hierarchical-attention multi-scale deconvolution network for landslide detection.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Matrix SegNet: A Practical Deep Learning Framework for Landslide Mapping from Images of Different Areas with Different Spatial Resolutions.
Remote. Sens., 2021
Res2-Unet+, a Practical Oil Tank Detection Network for Large-Scale High Spatial Resolution Images.
Remote. Sens., 2021
ACFNet: A Feature Fusion Network for Glacial Lake Extraction Based on Optical and Synthetic Aperture Radar Images.
Remote. Sens., 2021
A Strategy of Parallel Seed-Based Image Segmentation Algorithms for Handling Massive Image Tiles over the Spark Platform.
Remote. Sens., 2021
2020
IEEE Geosci. Remote. Sens. Lett., 2020
Landslide detection based on contour-based deep learning framework in case of national scale of Nepal in 2015.
Comput. Geosci., 2020
2019
A Contextual and Multitemporal Active-Fire Detection Algorithm Based on FengYun-2G S-VISSR Data.
IEEE Trans. Geosci. Remote. Sens., 2019
Exploring the Response Mechanism of Remote Sensing Images in Monitoring Fixed Assets Investment Project in Terms of Building Detection.
IEEE Access, 2019
Earthquake-Induced Building Damage Mapping Based on Multi-Task Deep Learning Framework.
IEEE Access, 2019
2018
Semantic Segmentation for High Spatial Resolution Remote Sensing Images Based on Convolution Neural Network and Pyramid Pooling Module.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach.
Inf. Fusion, 2018
2017
FengYun-3C VIRR Active Fire Monitoring: Algorithm Description and Initial Assessment Using MODIS and Landsat Data.
IEEE Trans. Geosci. Remote. Sens., 2017
Remote. Sens., 2017
A new technique for landslide mapping from a large-scale remote sensed image: A case study of Central Nepal.
Comput. Geosci., 2017
Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas.
Comput. Electron. Agric., 2017
2016
3D Face Detection via Reconstruction Over Hierarchical Features for Single Face Situations.
Int. J. Pattern Recognit. Artif. Intell., 2016
2014
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014
2012
Proceedings of the Fourth International Conference on Digital Image Processing, 2012