Ya Guo
Orcid: 0000-0002-9317-2471Affiliations:
- Central South University, School of Geosciences and Info-Physics, Changsha, China
- , China University of Geosciences, School of Information Engineering, China
According to our database1,
Ya Guo
authored at least 15 papers
between 2018 and 2024.
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Bibliography
2024
The Diverse Mountainous Landslide Dataset (DMLD): A High-Resolution Remote Sensing Landslide Dataset in Diverse Mountainous Regions.
Remote. Sens., June, 2024
Unsupervised Domain Adaptation for Building Extraction of High-Resolution Remote Sensing Imagery Based on Decoupling Style and Semantic Features.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery.
CoRR, 2024
2023
Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery.
Remote. Sens., March, 2023
Unsupervised Domain Adaptation Semantic Segmentation of High-Resolution Remote Sensing Imagery With Invariant Domain-Level Prototype Memory.
IEEE Trans. Geosci. Remote. Sens., 2023
Memory-Contrastive Unsupervised Domain Adaptation for Building Extraction of High-Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
Unsupervised Domain Adaptation for Semantic Segmentation of High-Resolution Remote Sensing Imagery Driven by Category-Certainty Attention.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Improving Building Extraction by Using Knowledge Distillation to Reduce the Impact of Label Noise.
Remote. Sens., 2022
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level context memory.
CoRR, 2022
2021
FODA: Building Change Detection in High-Resolution Remote Sensing Images Based on Feature-Output Space Dual-Alignment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Strengthen the Feature Distinguishability of Geo-Object Details in the Semantic Segmentation of High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
2020
DFCNN-Based Semantic Recognition of Urban Functional Zones by Integrating Remote Sensing Data and POI Data.
Remote. Sens., 2020
2018
Road Extraction From a High Spatial Resolution Remote Sensing Image Based on Richer Convolutional Features.
IEEE Access, 2018