Results 81 to 90 of about 12,912,851 (287)

Pixel-Wise Multimodal Contrastive Learning for Remote Sensing Images

CoRR
Satellites continuously generate massive volumes of data, particularly for Earth observation, including satellite image time series (SITS). However, most deep learning models are designed to process either entire images or complete time series sequences to extract meaningful features for downstream tasks.
Leandro Stival, Ricardo da Silva Torres, Hélio Pedrini   +2 more
openaire   +2 more sources

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

Multimodal Object Detection of UAV Remote Sensing Based on Joint Representation Optimization and Specific Information Enhancement

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the development of Earth observation technology, it becomes easier and easier to acquire multimodal image data at the same time. To improve the performance of a multimodal remote-sensing detection algorithm, a new fusion feature optimization ...
Jinpeng Wang, Congan Xu, Chunhui Zhao, Long Gao, Junfeng Wu, Yiming Yan, Shou Feng, Nan Su   +7 more
doaj   +1 more source

Deep Hash Remote Sensing Image Retrieval with Hard Probability Sampling

, 2020
As satellite observation technology improves, the number of remote sensing images significantly and rapidly increases. Therefore, a growing number of studies are focusing on remote sensing image retrieval. However, having a large number of remote sensing
Zhen Wang, Qiuzhan Zhou, Pingping Liu, Guixia Gou, Xue Shan   +4 more
core   +1 more source

Enhancing Remote Sensing Image Super-Resolution with Efficient Hybrid Conditional Diffusion Model

, 2023
Recently, optical remote-sensing images have been widely applied in fields such as environmental monitoring and land cover classification. However, due to limitations in imaging equipment and other factors, low-resolution images that are unfavorable for ...
Guoling Bi, Lintao Han, Yisa Zhang, Yuchen Zhao, Hengyi Lv, Qing Han, Hailong Liu   +6 more
core   +1 more source

Waveguide Photoactuators: Materials, Fabrication, and Applications

Advanced Robotics Research, EarlyView.
Waveguide photoactuators convert guided light into mechanical motion. Their tethered‐flexible design enables minimally invasive surgery and confined‐space robotics. This review aims to guide materials selection, device design, and system integration, accelerating the transition of waveguide photoactuators from laboratory prototypes to versatile ...
Minjie Xi, Hemin Pan, Yang Zong, Yongfeng Mei, Jizhai Cui   +4 more
wiley   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Robust Registration of Multimodal Remote Sensing Images Using Self-Similar Adjacent Self-Convolutional Feature

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Due to significant nonlinear radiometric differences (NRD) and severe geometric distortions (e.g., translation, scale, and rotation) among multimodal images (e.g., optical, infrared, SAR), image registration remains a challenging problem.
Tian Gao, Chaozhen Lan, Liang Lv, Qunshan Shi, Wenjun Huang, Yiqiao Wang, Zhizhen Mu   +6 more
doaj   +1 more source

Multimodal Prompt Learning for Spatial Reasoning in Remote Sensing Image Scene

A remote sensing scene graph (RSSG) enables machines to interpret interactions among ground objects in remote sensing images and supports semantic reasoning and description, thus making it a fundamental technique in the field.
Bingchuan Jiang, Long Sun, Tingting Li, Xiao Wang, Li Yang, Haizhong Qian, Yan Ren   +6 more
core   +1 more source

Adaptive-Attention Completing Network for Remote Sensing Image

, 2023
The reconstruction of missing pixels is essential for remote sensing images, as they often suffer from problems such as covering, dead pixels, and scan line corrector (SLC)-off.
Siqi Hui, Wenli Huang, Jinjun Wang, Ye Deng   +3 more
core   +1 more source