Results 11 to 20 of about 12,912,851 (287)
Long-Tailed Object Detection for Multimodal Remote Sensing Images
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 +4 more
doaj +3 more sources
Semantic segmentation is one of the key tasks in the intelligent interpretation of remote sensing images with extensive potential applications. However, when ultra-high resolution (UHR) remote sensing images exhibit complex background intersections and ...
Lingyu Yan +5 more
doaj +2 more sources
Target detection in remote sensing images has garnered significant attention due to its wide range of applications. Many traditional methods primarily rely on unimodal data, which often struggle to address the complexities of remote sensing environments.
Yong Wang +6 more
doaj +2 more sources
A Multihierarchy Flow Field Prediction Network for Multimodal Remote Sensing Image Registration
Multimodal remote sensing image registration aims to achieve alignment between different modal image pairs. This effectively enhances the subsequent effects of multisource data fusion, object detection and recognition, and provides support for geographic
Wenqing Wang, Kunpeng Mu, Han Liu
doaj +3 more sources
WinMRSI: Feature Matching With Window Attention for Multimodal Remote Sensing Image
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 +7 more
doaj +2 more sources
Multimodal remote sensing image registration aims to achieve effective fusion and analysis of information by accurately aligning image data obtained by different sensors, thereby improving the accuracy and application value of remote sensing data in ...
Kunpeng Mu +4 more
doaj +2 more sources
Image–text multimodal deep semantic segmentation leverages the fusion and alignment of image and text information and provides more prior knowledge for segmentation tasks.
Qianqian Liu, Xili Wang
doaj +2 more sources
The automatic image registration serves as a technical prerequisite for multimodal remote sensing image fusion. Meanwhile, it is also the technical basis for change detection, image stitching and target recognition.
Li Yan, Ziqi Wang, Yi Liu, Zhiyun Ye
doaj +2 more sources
Multimodal Remote Sensing Image Clustering on Superpixel Manifolds
Despite offering rich complementary information, multimodal remote sensing images collected by diverse sensors increase the computational burden in clustering.
Shujun Liu, Yuhong Yao, Luxi Xiao
doaj +2 more sources
Automatic Image to Image Registration for Multimodal Remote Sensing Images [PDF]
During the last decades, remote sensing sensors have undergone a rapid development in terms of both data quantity and characteristics. With advancements in remote sensing technology, the use of satellite images in disparate fields has received a tremendous boost.
Suri, Sahil
openaire +3 more sources

