A stepwise domain adaptive segmentation network with covariate shift alleviation for remote sensing imagery

J Li, S Zi, R Song, Y Li, Y Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Semantic segmentation for remote sensing images (RSI) is critical for the Earth monitoring
system. However, the covariate shift between RSI datasets under different capture …

Scribble-attention hierarchical network for weakly supervised salient object detection in optical remote sensing images

L Ma, X Luo, H Hong, Y Zhang, L Wang, J Wu - Applied Intelligence, 2023 - Springer
Arising from cluttered background interference and various scaled objects, salient object
detection (SOD) in optical remote sensing images (RSIs) is a challenging task. In the latest …

Tensor-Based Chaotic Convolutional Neural Network for Remote Sensing Data Classification

L Chen, J Yin, J Yang - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
With the advancement of deep learning techniques, the classification of remote sensing data
using artificial neural networks has emerged as a prominent research area. Despite this …

Airplane symmetry-based convolutional neural network for airplane detection in remote sensing image

B Cheng, B Wang, Z Liu, Q Wang, T Shen, Y Gu - IET Conference Proceedings …, 2023 - IET
Airplane detection in remote sensing image has attracted increasing attention in recent
years owing to the successful applications of civil and military. Usually, the structure of the …

Coastline Classification and Extraction Based on Deep Learning

Z Ma, Z Liu, J Huang, K Wu - China Conference on Command and Control, 2022 - Springer
Coastline is an important strategic resource, and research on the classification and
extraction of coastline is of great significance in the fields of marine resource management …