Results 101 to 110 of about 4,054,189 (290)

IFF-Net: Irregular Feature Fusion Network for Multimodal Remote Sensing Image Classification

Applied Sciences
In recent years, classification and identification of Earth’s surface materials has been a challenging research topic in the field of earth science and remote sensing (RS).
Huiqing Wang, Huajun Wang, Linfeng Wu
doaj   +1 more source

Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic

Advanced Robotics Research, EarlyView.
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang, Yu Dong, Yongsheng Du, Rui Gao, Lin Zhang, Fei Tong   +5 more
wiley   +1 more source

Contrastive Learning of Multimodal Consistency Feature Representation for Remote Sensing Image Registration

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Feature representation is a crucial issue in multimodal image registration. The handcrafted features extracted by traditional methods are highly sensitive to nonlinear radiation differences, while supervised learning methods are limited by deficient ...
Zhen Han, Ning Lv, Zhiyi Wang, Wei Han, Li Cong, Shaohua Wan, Chen Chen   +6 more
doaj   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

L-2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry

, 2014
The primary contribution of this paper is an efficient feature extraction and matching implementation for large images in large-scale aerial photogrammetry experiments.
Huang, Shoudong, Yan, Lei, Huang, S, Dissanayake, Gamini, Zhao, Liang, Sun, Yanbiao, Yan, L, Dissanayake, G, Sun, Y, Zhao, L   +9 more
core   +1 more source

Cell‐Based Biohybrid Micro/Nanorobots for Biotherapy

Advanced Robotics Research, EarlyView.
This review systematically evaluates cell‐based biohybrid micro/nanorobots (CB‐BMRs), highlighting their cell selection criteria, fabrication strategies, and diverse actuation modes. Furthermore, it surveys the promising therapeutic applications of CB‐BMRs in targeted cancer, thrombosis, and inflammation treatments, while comprehensively discussing ...
Lin Wang, Chenlu Liu, Yu Zhao, Chuanhua Li, Xuyang Chen, Shixiao Ding, Lizhou Dai, Guokun Wang, Tianlong Li, Jiaxin Li, Xuejia Liu, Haocheng Wang   +11 more
wiley   +1 more source

An Uncertainty Descriptor for Quantitative Measurement of the Uncertainty of Remote Sensing Images

, 2019
Reliable image classification results are crucial for the application of remote sensing images, but the reliability of image classification has received less attention. In particular, the inherent uncertainty of remote sensing images has been disregarded.
Qi Zhang, Penglin Zhang
core   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Semantic segmentation of remote sensing images based on dual‐channel attention mechanism

IET Image Processing
Due to the inadequate utilization of data correlation and complementarity in the feature extraction process of multimodal remote sensing images, the paper proposes a deep learning semantic segmentation algorithm based on the Dual Channel Attention ...
Jionghui Jiang, Xi'an Feng, Hui Huang
doaj   +1 more source

Multimodal Remote Sensing Image Registration Based on Adaptive Spectrum Congruency

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multimodal remote sensing images (MRSIs) have extensive nonlinear radiation differences, geometric distortions, and noise corruption, which bring challenges for registration. Existing feature matching methods usually use gradient or phase congruency (PC) to extract image features.
Jing Huang, Fang Yang 0005, Li Chai 0001
openaire   +3 more sources