Multi-source information fusion attention network for weakly supervised salient object detection in optical remote sensing images
L Yan, S Yang, Q Zhang, R Yan, T Wang, H Liu… - Expert Systems with …, 2025 - Elsevier
Due to the complex backgrounds and diverse attributes of salient objects in optical remote
sensing images (RSIs), existing methods heavily rely on pixel-level annotations, with sparse …
sensing images (RSIs), existing methods heavily rely on pixel-level annotations, with sparse …
DADR-HCD: A deep domain adaptation and disentangled representation network for unsupervised heterogeneous change detection
Change detection, a critical and flourishing Earth observation technology, aims to identify
changes through cross-temporal remote sensing images acquired over the same …
changes through cross-temporal remote sensing images acquired over the same …
Hierarchical Self-Learning Knowledge Inference Based on Markov Random Field for Semantic Segmentation of Remote Sensing Images
Y Chen, L Wang, J Li, C Zheng - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Semantic segmentation is one of the most important tasks in the field of remote sensing. As
the spatial resolution increases, the remote sensing images can capture more detailed …
the spatial resolution increases, the remote sensing images can capture more detailed …
MLANet: a multi-level attention-based change detection method for remote sensing images
Y Zhang, W Lu, W Lv, A Gao, R Xie… - … Remote Sensing and …, 2024 - spiedigitallibrary.org
Change detection of dual-temporal remote sensing images is widely employed in natural
disaster monitoring and land resource planning. Recently, most change detection methods …
disaster monitoring and land resource planning. Recently, most change detection methods …
Obtaining farmland information from high resolution remote sensing satellite images
XY Mou, SK Jin, X Wang, H Chen… - … on Digital Signal …, 2024 - spiedigitallibrary.org
This article proposes a method for obtaining farmland information in high-resolution satellite
images. Firstly, divide the pixels of satellite images into a set of soft object regions and …
images. Firstly, divide the pixels of satellite images into a set of soft object regions and …