Results 261 to 270 of about 12,912,851 (287)

Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
This paper considers the problem of learning efficient similarity measure (SM) for multimodal remote sensing (RS) images. It is desirable to have a single SM that is efficient for different combinations of modes. We first consider the influence of training dataset balancing on SM efficiency.
Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi   +3 more
openaire   +2 more sources

Adaptive Enhancement Method for Multimode Remote Sensing Image Based on LiDAR

Mobile Networks and Applications, 2020
Currently, the multimode remote sensing (MRS) images are always enhanced with low efficiency, poor effectiveness, and long processing time. Therefore, a self-adaptive enhancement method for MRS images based on Light Detection and Ranging (LiDAR) technology is proposed. Firstly, the problem of LiDAR imaging is replaced by the problem of quadrature-based
Xuechao Zhang, Khan Muhammad 0001
openaire   +1 more source

A Fast and Robust Matching System for Multimodal Remote Sensing Image Registration

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The rapid and explosive growth of remote sensing image dataset (e.g., optical, SAR, LiDAR) promotes the development of the aerospace industry. However, images with complex coverage scenes are usually captured by either different sensors from different perspectives or the same sensor in different periods [1]. These factors have brought a great challenge
Yuanxin Ye, Bai Zhu, Liang Zhou, Lorenzo Bruzzone   +3 more
openaire   +1 more source

Multimodal Semantic Segmentation Model for Remote Sensing Image

Pertanika Proceedings
The conceptual division of remote sensing pictures is essential to remote sensing technology. However, predictions are hard to make because the main groups of these remote-sensing pictures are very complicated. Also, the things shown in shots from space are more involved, and many things in different groups are mixed.
null Ashokkumar N, null Shaik Javid Basha, null Nagarajan. P, null Kavitha. T   +3 more
openaire   +1 more source

A multimodal hyper-fusion transformer for remote sensing image classification

Information Fusion, 2023
Mengru Ma, Wenping Ma 0001, Licheng Jiao, Xu Liu 0006, Lingling Li 0002, Zhixi Feng, Fang Liu 0001, Shuyuan Yang 0001   +7 more
openaire   +2 more sources

Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification

IEEE Transactions on Neural Networks and Learning Systems
With the recent development of the joint classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) data, deep learning methods have achieved promising performance owing to their locally sematic feature extracting ability. Nonetheless, the limited receptive field restricted the convolutional neural networks (CNNs) to represent ...
Xudong Zhao 0003, Mengmeng Zhang 0005, Ran Tao 0003, Wei Li 0032, Wenzhi Liao, Lianfang Tian, Wilfried Philips   +6 more
openaire   +3 more sources

Multimodal Unsupervised Domain Adaptation for Remote Sensing Image Segmentation

2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023
Jiaqi Zou, Zhuohong Li, Fangxiao Lu, Wei He 0003, Hongyan Zhang 0001   +4 more
openaire   +1 more source

Multimodal Image Fusion Framework for End-to-End Remote Sensing Image Registration

IEEE Transactions on Geoscience and Remote Sensing, 2023
Liangzhi Li 0002, Ling Han, Mingtao Ding, Hongye Cao   +3 more
openaire   +1 more source

BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets]

IEEE Geoscience and Remote Sensing Magazine, 2021
Hugo Costa, Mario Caetano, Begüm Demir
exaly  

HSP: Hierarchical spectral and structure-preserving fusion network for multimodal remote sensing image cloud and shadow removal

Information Fusion, 2023
Yongjun Zhang, Jiayi Ma
exaly