Open-ended remote sensing visual question answering with transformers

Article Geochemistry & Geophysics

High-Resolution Remote Sensing Image Captioning Based on Structured Attention

Rui Zhao et al.

Summary: An attention-based method that generates pixelwise semantic content segmentation masks for remote sensing images is proposed, achieving higher captioning accuracy compared to state-of-the-art methods. This method utilizes fine-grained, structured attention to exploit the structural characteristics of semantic contents in high-resolution remote sensing images.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

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Article Geochemistry & Geophysics

Mutual Attention Inception Network for Remote Sensing Visual Question Answering

Xiangtao Zheng et al.

Summary: This study introduces a method for remote sensing visual question answering (VQA) that considers the fusion of image features and question features, introducing convolutional features and word vectors, as well as attention mechanism and bilinear technique. Experimental results demonstrate that the proposed method can capture the alignments between images and questions.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

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Review Geography, Physical

Remote sensing image segmentation advances: A meta-analysis

Ioannis Kotaridis et al.

Summary: This article presents conceptual characteristics of image segmentation methods, with a special focus on semantic segmentation. A meta-analysis was conducted through a comprehensive review of recent image segmentation case studies. The paper also addresses interesting subjects such as identification of current problems, image segmentation on non-traditional data, and hot topics for future research.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)

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Review Environmental Sciences

Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review

Saman Ghaffarian et al.

Summary: Machine learning, especially deep learning, has become a key method in computer vision and remote sensing image processing. Researchers are exploring the use of attention mechanisms to enhance the performance of deep learning methods in remote sensing applications.

REMOTE SENSING (2021)

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Article Geography, Physical