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1. Asymmetric Network Combining CNN and Transformer for Building Extraction from Remote Sensing Images.

2. 融合Partial 卷积与残差细化的遥感影像建筑物提取算法.

3. Automatic Building Extraction from Multispectral LiDAR Using Novel 3D Spatial Indices and Deep Learning Point CNN.

4. Semantic Segmentation-Based Building Extraction in Urban Area Using Memory-Efficient Residual Dilated Convolutional Network.

5. Estimating the building heights and occupancy of underground space resources based on high-resolution remote sensing images.

6. A method for extracting buildings from remote sensing images based on 3DJA-UNet3+.

7. Semi-Supervised Building Extraction with Optical Flow Correction Based on Satellite Video Data in a Tsunami-Induced Disaster Scene.

8. A Novel Global-Local Feature Aggregation Framework for Semantic Segmentation of Large-Format High-Resolution Remote Sensing Images.

9. Building extraction from remote sensing imagery: advanced squeeze-and-excitation residual network based methodology.

10. Building Extraction Algorithm for Remote Sensing Images by Fusing Partial Convolution and Residual Refinement

11. A method for extracting buildings from remote sensing images based on 3DJA-UNet3+

12. EUNet: Edge-UNet for Accurate Building Extraction and Edge Emphasis in Gaofen-7 Images.

13. Vectorized building extraction from high-resolution remote sensing images using spatial cognitive graph convolution model.

14. Instance segmentation based building extraction in a dense urban area using multispectral aerial imagery data.

15. The Cost of Urban Renewal: Annual Construction Waste Estimation via Multi-Scale Target Information Extraction and Attention-Enhanced Networks in Changping District, Beijing.

16. Cross-level and multiscale CNN-Transformer network for automatic building extraction from remote sensing imagery.

17. Research on building extraction from remote sensing imagery using efficient lightweight residual network.

18. Loss Function Analysis for Building Extraction from Remote Sensing Images

20. Feature Aggregation Network for Building Extraction from High-Resolution Remote Sensing Images

23. A cross-stage features fusion network for building extraction from remote sensing images

24. Multi-branch reverse attention semantic segmentation network for building extraction

25. An interactive method for bridging the gap between deep learning based building contour segmentation and manual annotation.

26. Performance Comparison of Deep Learning (DL)-Based Tabular Models for Building Mapping Using High-Resolution Red, Green, and Blue Imagery and the Geographic Object-Based Image Analysis Framework.

27. A Lightweight Building Extraction Approach for Contour Recovery in Complex Urban Environments.

28. 基于双路细节关注网络的遥感影像建筑物提取.

29. 基于多特征融合与对象边界联合约束网络的 建筑物提取.

30. Building extraction from oblique photogrammetry point clouds based on PointNet++ with attention mechanism.

31. From lines to Polygons: Polygonal building contour extraction from High-Resolution remote sensing imagery.

32. Building classification extraction from remote sensing images combining hyperpixel and maximum interclass variance.

33. Multi-branch reverse attention semantic segmentation network for building extraction.

34. Multi-Scale Feature Fusion Attention Network for Building Extraction in Remote Sensing Images.

35. Derin öğrenme uygulamalarında kullanılan uzaktan algılama verilerinden oluşturulmuş açık kaynaklı bina veri setleri: Karşılaştırmalı değerlendirme.

36. A prior knowledge guided deep learning method for building extraction from high-resolution remote sensing images.

37. A shape-aware enhancement Vision Transformer for building extraction from remote sensing imagery.

38. A Building Extraction Method for High-Resolution Remote Sensing Images with Multiple Attentions and Parallel Encoders Combining Enhanced Spectral Information.

39. Developing an automatic training technique based on integration of radar and optical remotely sensed images for building extraction.

40. EMAFF-Net: an enhanced multi-scale attentive feature fusion network for building extraction from VHR remote sensing images.

41. Research on building extraction from remote sensing imagery using efficient lightweight residual network

42. OCANet: An Overcomplete Convolutional Attention Network for Building Extraction From High-Resolution Remote Sensing Images

43. Depth Feature Fusion Network for Building Extraction in Remote Sensing Images

44. BEMRF-Net: Boundary Enhancement and Multiscale Refinement Fusion for Building Extraction From Remote Sensing Imagery

45. EA U2-Net: An Efficient Building Extraction Algorithm Based on Complex Background Information

46. Instance-Aware Contour Learning for Vectorized Building Extraction From Remote Sensing Imagery

47. A Multifeature Fusion Framework Based on D-S Theory for Automatic Building Extraction From High-Resolution Remote Sensing Imagery

48. CSA-Net: Complex Scenarios Adaptive Network for Building Extraction for Remote Sensing Images

49. BuildMon: Building Extraction and Change Monitoring in Time Series Remote Sensing Images

50. A Cascaded Network With Coupled High-Low Frequency Features for Building Extraction

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