Sökresultat - "High-resolution remote sensing images"

DeepU-Net: A Parallel Dual-Branch Model for Deeply Fusing Multiscale Features for Road Extraction From High-Resolution Remote Sensing Images

Zhou, G., Zhi, H., Gao, E., Lu, Y., Chen, J., Bai, Y., Zhou, X.

Full-Scale Change Detection Network for Remote Sensing Images Based on Deep Feature Fusion

Liu, S., Zhao, D., Zhou, Y., Tan, Y., He, H., Zhang, Z., Tang, L.

Improved GMM High-Resolution Remote Sensing Image Land Cover Classification

Chunyan, Wang, Kaixin, Fu, Xiang, Wang

2024 4th International Signal Processing, Communications and Engineering Management Conference (ISPCEM)

Using High-Resolution Remote Sensing Images for Extracting Buildings Through the Jointly Improved YOLOv8 Deep Learning Network and Object-Oriented Analysis

Hu, Yongjie, Hong, Liang, Hu, Yongfang

2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

From Synthesis to Removal: A Deep Learning-Based Framework for Shadow Removal in High-Resolution Remote Sensing Images

Shao, Chenglin, Li, Huifang, Xu, Liying, Gao, Meiling, Shen, Huanfeng

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

Receptive Convolution Boosts Large-Scale Multi-Class Change Detection

Yuan, Shuai, Wei, Fan, Zhang, Lixian, Fu, Haohuan, Gong, Peng

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

Multi-Semantic Markov Random Field Model for Semantic Segmentation of High-Resolution Remote Sensing Images

Fu, Haoyu, Zheng, Chen, Xu, Weiheng, Zhao, Yili, Wang, Leiguang

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

Remote Sensing Semantic Change Detection Based on the Visual Foundation Model

Cheng, Yali, Yang, Wanying, Li, Yu, Xu, Wenbo, Chang, Le, Li, Ren

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

Relational Part-Aware Learning for Complex Composite Object Detection in High-Resolution Remote Sensing Images

Yuan, S., Zhang, L., Dong, R., Xiong, J., Zheng, J., Fu, H., Gong, P.

A Quantization Loss Compensation Network for Remote Sensing Image Compression

Xiang, Shao, Xiao, Jing, Wang, Mi

2024 Picture Coding Symposium (PCS)

Semantic Segmentation of Ultra-high-resolution Remote Sensing Images Based on Global-local Branch Asynchronous Feature Interaction Structure

Huang, Siyuan, Dong, Kaihui, Chen, Haobing, Yao, Wei, Li, Bo, Cheng, Li

2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)

Locality-Enhanced Transformer for Semantic Segmentation of High-Resolution Remote Sensing Images

Li, Xin, Xu, Feng, Xia, Runliang, Xu, Nan, Liu, Fan, Yuan, Chi, Huang, Qian, Lyu, Xin

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Multiscale Global Attention for Abnormal Geological Hazard Segmentation

Cai, W., Huang, W., Tian, L., Huang, C., Yan, J.

HIFANet: A Hierarchical Feature Aggregate Network for Change Detection of High-Resolution Remote Sensing Images

Wu, Xuxu, Huo, Hong, Fang, Tao

2023 9th International Conference on Computer and Communications (ICCC)

A Label Correction Learning Framework for Gully Erosion Extraction Using High-Resolution Remote Sensing Images and Noisy Labels

Zhao, C., Shen, Y., Su, N., Yan, Y., Feng, S., Xiang, W., Liu, Y., Zhao, T.

Res50-SimAM-ASPP-Unet: A Semantic Segmentation Model for High-Resolution Remote Sensing Images

Cai, J., Shi, J., Leau, Y., Meng, S., Zheng, X., Zhou, J.

Edge-Guided Dual-Stream Network for Plastic Greenhouse Extraction From Remote Sensing Image

Zhang, X., Cheng, B., Liang, C., Wang, G.

Efficient Rural Building Segmentation via a Multilevel Decoding Network

Xu, B., Dong, L., Xia, G., Zhang, L.

Integrating Segment Anything Model Derived Boundary Prior and High-Level Semantics for Cropland Extraction From High-Resolution Remote Sensing Images

Long, J., Zhao, H., Li, M., Wang, X., Lu, C.

Change-Aware Cascaded Dual-Decoder Network for Remote Sensing Image Change Detection

Yang, F., Yuan, Y., Qin, A., Zhao, Y., Song, T., Gao, C.