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[HTML][HTML] Effect of attention mechanism in deep learning-based remote sensing image processing: A systematic literature review
Machine learning, particularly deep learning (DL), has become a central and state-of-the-art
method for several computer vision applications and remote sensing (RS) image …
method for several computer vision applications and remote sensing (RS) image …
Intelligent image semantic segmentation: a review through deep learning techniques for remote sensing image analysis
Image semantic segmentation is an important part of fundamental in image interpretation
and computer vision. With the development of convolutional neural network technology …
and computer vision. With the development of convolutional neural network technology …
LANet: Local attention embedding to improve the semantic segmentation of remote sensing images
The trade-off between feature representation power and spatial localization accuracy is
crucial for the dense classification/semantic segmentation of remote sensing images (RSIs) …
crucial for the dense classification/semantic segmentation of remote sensing images (RSIs) …
High-resolution remote sensing image captioning based on structured attention
Automatically generating language descriptions of remote sensing images has become an
emerging research hot spot in the remote sensing field. Attention-based captioning, as a …
emerging research hot spot in the remote sensing field. Attention-based captioning, as a …
A deep learning method for optimizing semantic segmentation accuracy of remote sensing images based on improved UNet
X Wang, Z Hu, S Shi, M Hou, L Xu, X Zhang - Scientific reports, 2023 - nature.com
Semantic segmentation of remote sensing imagery (RSI) is critical in many domains due to
the diverse landscapes and different sizes of geo-objects that RSI contains, making …
the diverse landscapes and different sizes of geo-objects that RSI contains, making …
Dual-path feature aware network for remote sensing image semantic segmentation
J Geng, S Song, W Jiang - … on Circuits and Systems for Video …, 2023 - ieeexplore.ieee.org
Semantic segmentation is a significant task for remote sensing interpretation, which takes
advantage of contextual semantic information to classify each pixel into a specific category …
advantage of contextual semantic information to classify each pixel into a specific category …
[HTML][HTML] Encoding contextual information by interlacing transformer and convolution for remote sensing imagery semantic segmentation
Contextual information plays a pivotal role in the semantic segmentation of remote sensing
imagery (RSI) due to the imbalanced distributions and ubiquitous intra-class variants. The …
imagery (RSI) due to the imbalanced distributions and ubiquitous intra-class variants. The …
Attention guided contextual feature fusion network for salient object detection
In recent years, the Convolutional Neural Network (CNN) has been widely used in various
visual tasks because of its powerful feature extraction ability. Salient object detection …
visual tasks because of its powerful feature extraction ability. Salient object detection …
High-order semantic decoupling network for remote sensing image semantic segmentation
Low-order features based on convolution kernel are easy to be distorted when encountering
dramatic view angle transformation and atmospheric scattering in remote sensing (RS) …
dramatic view angle transformation and atmospheric scattering in remote sensing (RS) …
Real-Time Semantic Segmentation: A brief survey and comparative study in remote sensing
Real-time semantic segmentation of remote sensing imagery is a challenging task that
requires a tradeoff between effectiveness and efficiency. It has many applications, including …
requires a tradeoff between effectiveness and efficiency. It has many applications, including …