Results 21 to 30 of about 4,054,189 (290)

Semisupervised Manifold Alignment of Multimodal Remote Sensing Images [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2014
We introduce a method for manifold alignment of different modalities (or domains) of remote sensing images. The problem is recurrent when a set of multitemporal, multisource, multisensor and multiangular images is available. In these situations, images should ideally be spatially coregistred, corrected and compensated for differences in the image ...
Devis Tuia, Michele Volpi, Maxime Trolliet, Gustavo Camps-Valls   +3 more
openaire   +5 more sources

Multiscale Template Matching for Multimodal Remote Sensing Image

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Multimodal matching remains a difficult and pressing problem in the imaging processing community. Accurate and robust multimodal matching is important for the performance of applications, such as registration and fusion. Traditional image matching algorithms cannot effectively handle multimodal images with severe nonlinear radiometric distortion (NRD).
Tian Gao 0006, Chaozhen Lan, Wenjun Huang, Longhao Wang, Zijun Wei, Fushan Yao   +5 more
openaire   +3 more sources

Multimodal Remote Sensing Image Registration Methods and Advancements: A Survey [PDF]

Remote Sensing, 2021
With rapid advancements in remote sensing image registration algorithms, comprehensive imaging applications are no longer limited to single-modal remote sensing images. Instead, multi-modal remote sensing (MMRS) image registration has become a research focus in recent years.
Xinyue Zhang 0013, Chengcai Leng, Yameng Hong, Zhao Pei, Irene Cheng 0001, Anup Basu   +5 more
openaire   +3 more sources

Cross-Modal feature description for remote sensing image matching

International Journal of Applied Earth Observations and Geoinformation, 2022
Effective feature description for cross-modal remote sensing matching is challenging due to the complex geometric and radiometric differences between multimodal images.
Liangzhi Li, Ming Liu, Lingfei Ma, Ling Han   +3 more
doaj   +1 more source

Prediction of Seedling Oilseed Rape Crop Phenotype by Drone-Derived Multimodal Data

Remote Sensing, 2023
In recent years, unmanned aerial vehicle (UAV) remote sensing systems have advanced rapidly, enabling the effective assessment of crop growth through the processing and integration of multimodal data from diverse sensors mounted on UAVs.
Yang Yang, Xinbei Wei, Jiang Wang, Guangsheng Zhou, Jian Wang, Zitong Jiang, Jie Zhao, Yilin Ren   +7 more
doaj   +1 more source

Remote sensing traffic scene retrieval based on learning control algorithm for robot multimodal sensing information fusion and human-machine interaction and collaboration

Frontiers in Neurorobotics, 2023
In light of advancing socio-economic development and urban infrastructure, urban traffic congestion and accidents have become pressing issues. High-resolution remote sensing images are crucial for supporting urban geographic information systems (GIS ...
Huiling Peng, Nianfeng Shi, Guoqiang Wang   +2 more
doaj   +1 more source

Robust Registration of Multimodal Remote Sensing Images With Spectrum Congruency

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Among the existing registration methods, most feature descriptors are designed with image intensity, gradient information and phase congruency (PC). However, both intensity and gradient are sensitive to image illumination changes, complex intensity differences, noise, etc.
Jing Huang, Fang Yang 0005, Li Chai 0001
openaire   +2 more sources

Land-cover classification with remote sensing images based on low-rank fusion of multimodal features [PDF]

Zhihui kongzhi yu fangzhen
Multimodal remote-sensing land classification aims to achieve more accurate and comprehensive extraction of land features in remote sensing images by integrating feature information from multiple remote sensing data sources.
LIU Wenjie, WU Xiaoning, DONG Fuan, ZHANG Jinwen, LI Yiyang, CHEN Yong
doaj   +1 more source

A Crossmodal Multiscale Fusion Network for Semantic Segmentation of Remote Sensing Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Driven by the rapid development of Earth observation sensors, semantic segmentation using multimodal fusion of remote sensing data has drawn substantial research attention in recent years.
Xianping Ma, Xiaokang Zhang, Man-On Pun
doaj   +1 more source

SIFNet: A self-attention interaction fusion network for multisource satellite imagery template matching

International Journal of Applied Earth Observations and Geoinformation, 2023
Multisource satellite images provide abundant and complementary earth observations, while nonlinear radiometric and geometric distortions (such as scale and rotation variations) between these multimodal images pose remarkable challenges for further ...
Ming Liu, Gaoxiang Zhou, Lingfei Ma, Liangzhi Li, Qiong Mei   +4 more
doaj   +1 more source