Results 1 to 10 of about 4,658 (155)

Long-Tailed Object Detection for Multimodal Remote Sensing Images

Remote Sensing, 2023
With the rapid development of remote sensing technology, the application of convolutional neural networks in remote sensing object detection has become very widespread, and some multimodal feature fusion networks have also been proposed in recent years ...
Jiaxin Yang, Miaomiao Yu, Shuohao Li, Jun Zhang, Shengze Hu   +4 more
doaj   +2 more sources

Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2017
Automatic registration of multimodal remote sensing data (e.g., optical, LiDAR, SAR) is a challenging task due to the significant non-linear radiometric differences between these data. To address this problem, this paper proposes a novel feature descriptor named the Histogram of Orientated Phase Congruency (HOPC), which is based on the structural ...
Yuanxin Ye, Jie Shan, Lorenzo Bruzzone
exaly   +5 more sources

Fast and Robust Matching for Multimodal Remote Sensing Image Registration [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2019
While image registration has been studied in remote sensing community for decades, registering multimodal data [e.g., optical, LiDAR, SAR, and map] remains a challenging problem because of significant nonlinear intensity differences between such data.
Yuanxin Ye, Qing Zhu, Jie Shan
exaly   +6 more sources

WinMRSI: Feature Matching With Window Attention for Multimodal Remote Sensing Image

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multimodal remote sensing image matching is a crucial task with broad application potential. However, substantial nonlinear radiometric differences between multimodal images pose significant challenges, often leading to mismatches.
Yide Di, Yun Liao, Yunan Liu, Hao Zhou, Kaijun Zhu, Mingyu Lu, Qing Duan, Junhui Liu   +7 more
doaj   +2 more sources

Adversarial Example Generation With Pseudo-Siamese Adversarial Generative Networks for Multimodal Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In the field of remote sensing, the increasing diversity of remote sensing image modalities has made the integration of multimodal remote sensing image information a prevailing trend to increase classification accuracy.
Haifeng Li, Hang Cao, Jiahao Cui, Jing Geng   +3 more
doaj   +3 more sources

Multimodal Urban Remote Sensing Image Registration Via Roadcross Triangular Feature

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Automatic image registration of multimodal urban remote sensing images remains a critical challenging task in remote sensing image analysis due to significant nonlinear radiation distortions between multimodal image pairs; most of the traditional methods
Kun Yu, Xiao Zheng, Bin Fang, Pei An, Xiao Huang, Wei Luo, Junfeng Ding, Zhao Wang, Jie Ma   +8 more
doaj   +1 more source

Self-Supervised Keypoint Detection and Cross-Fusion Matching Networks for Multimodal Remote Sensing Image Registration

Remote Sensing, 2022
Remote sensing image matching is the basis upon which to obtain integrated observations and complementary information representation of the same scene from multiple source sensors, which is a prerequisite for remote sensing tasks such as remote sensing ...
Liangzhi Li, Ling Han, Yuanxin Ye
doaj   +1 more source

Advances and Challenges in Multimodal Remote Sensing Image Registration

IEEE Journal on Miniaturization for Air and Space Systems, 2023
Over the past few decades, with the rapid development of global aerospace and aerial remote sensing technology, the types of sensors have evolved from the traditional monomodal sensors (e.g., optical sensors) to the new generation of multimodal sensors [e.g., multispectral, hyperspectral, light detection and ranging (LiDAR) and synthetic aperture radar
Bai Zhu, Liang Zhou, Simiao Pu, Jianwei Fan, Yuanxin Ye   +4 more
openaire   +2 more sources

Self-Similarity Features for Multimodal Remote Sensing Image Matching [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Multimodal remote sensing image matching is a challenging task because of the existence of significant radiometric differences. To address the problem, we develop a novel multimodal remote sensing image matching method based on self-similarity features.
Xin Xiong 0017, Guowang Jin, Qing Xu 0005, Hongmin Zhang   +3 more
openaire   +3 more sources

Multimodal Fusion Transformer for Remote Sensing Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2023
Vision transformers (ViTs) have been trending in image classification tasks due to their promising performance when compared to convolutional neural networks (CNNs). As a result, many researchers have tried to incorporate ViTs in hyperspectral image (HSI) classification tasks.
Roy, Swalpa Kumar, Deria, Ankur, Hong, Danfeng, Rasti, Behnood, Plaza, Antonio, Chanussot, Jocelyn   +5 more
openaire   +6 more sources