Results 11 to 20 of about 4,054,189 (290)

Modality-Free Feature Detector and Descriptor for Multimodal Remote Sensing Image Registration

open access: yesRemote Sensing, 2020
The nonlinear radiation distortions (NRD) among multimodal remote sensing images bring enormous challenges to image registration. The traditional feature-based registration methods commonly use the image intensity or gradient information to detect and ...
Song Cui   +3 more
doaj   +2 more sources

GeoJapan Fusion Framework: A Large Multimodal Model for Regional Remote Sensing Recognition

open access: yesRemote Sensing
Recent advances in large multimodal models (LMMs) have opened new opportunities for multitask recognition from remote sensing images. However, existing approaches still face challenges in effectively recognizing the complex geospatial characteristics of ...
Yaozong Gan   +5 more
doaj   +2 more sources

A Multilevel Multimodal Hybrid Mamba-Large Strip Convolution Network for Remote Sensing Semantic Segmentation

open access: yesRemote Sensing
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

ACDF-YOLO: Attentive and Cross-Differential Fusion Network for Multimodal Remote Sensing Object Detection

open access: yesRemote Sensing
Object detection in remote sensing images has received significant attention for a wide range of applications. However, traditional unimodal remote sensing images, whether based on visible light or infrared, have limitations that cannot be ignored ...
Xuan Fei   +4 more
doaj   +2 more sources

Automatic Matching of Multimodal Remote Sensing Images via Learned Unstructured Road Feature

open access: yesRemote Sensing, 2022
Automatic matching of multimodal remote sensing images remains a vital yet challenging task, particularly for remote sensing and computer vision applications.
Kun Yu   +7 more
doaj   +2 more sources

Can Separation Enhance Fusion? An Efficient Framework for Target Detection in Multimodal Remote Sensing Imagery

open access: yesRemote Sensing
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 Dual-Branch Network of Strip Convolution and Swin Transformer for Multimodal Remote Sensing Image Registration

open access: yesRemote Sensing
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

Automatic Image to Image Registration for Multimodal Remote Sensing Images [PDF]

open access: yes, 2010
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

Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing [PDF]

open access: yes, 2014
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei   +6 more
core   +4 more sources

Remote-Sensing Cross-Domain Scene Classification: A Dataset and Benchmark

open access: yesRemote Sensing, 2022
Domain adaptation for classification has achieved significant progress in natural images but not in remote-sensing images due to huge differences in data-imaging mechanisms between different modalities and inconsistencies in class labels among existing ...
Kang Liu, Jian Yang, Shengyang Li
doaj   +1 more source

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