Cross-scene joint classification of multisource data with multilevel domain adaption network
Domain adaption (DA) is a challenging task that integrates knowledge from source domain
(SD) to perform data analysis for target domain. Most of the existing DA approaches only …
(SD) to perform data analysis for target domain. Most of the existing DA approaches only …
Information fusion for classification of hyperspectral and LiDAR data using IP-CNN
Joint use of multisensor information has attracted considerable attention in the remote
sensing community. While applications in land-cover observation benefit from information …
sensing community. While applications in land-cover observation benefit from information …
A comprehensive review of hyperspectral data fusion with lidar and sar data
S Kahraman, R Bacher - Annual Reviews in Control, 2021 - Elsevier
With the development of remote sensing techniques, the fusion of multimodal data,
particularly hyperspectral-Light Detection And Ranging (HS-LiDAR) and hyperspectral-SAR …
particularly hyperspectral-Light Detection And Ranging (HS-LiDAR) and hyperspectral-SAR …
Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS data fusion contest
This paper presents the scientific outcomes of the 2018 Data Fusion Contest organized by
the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and …
the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and …
Recurrent attention and semantic gate for remote sensing image captioning
The remote sensing image captioning has attracted wide spread attention in remote sensing
field due to its application potentiality. However, most existing approaches model limited …
field due to its application potentiality. However, most existing approaches model limited …
Multimodal information fusion for weather systems and clouds identification from satellite images
C Bai, D Zhao, M Zhang, J Zhang - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Seeing the cloud and then understanding the weather is one of the important means for
people to forecast weather. There has been a certain progress in the use of deep learning …
people to forecast weather. There has been a certain progress in the use of deep learning …
A hybrid attention-aware fusion network (HAFNet) for building extraction from high-resolution imagery and LiDAR data
Automated extraction of buildings from earth observation (EO) data has long been a
fundamental but challenging research topic. Combining data from different modalities (eg …
fundamental but challenging research topic. Combining data from different modalities (eg …
Multitask learning of height and semantics from aerial images
Aerial or satellite imagery is a great source for land surface analysis, which might yield land-
use maps or elevation models. In this letter, we present a neural network framework for …
use maps or elevation models. In this letter, we present a neural network framework for …
Adaptive hybrid attention network for hyperspectral image classification
The task of land cover classification from hyperspectral images (HSI) has recently witnessed
sharp improvements with the applications of deep convolutional networks (CNN). This is …
sharp improvements with the applications of deep convolutional networks (CNN). This is …
A mask-guided transformer network with topic token for remote sensing image captioning
Remote sensing image captioning aims to describe the content of images using natural
language. In contrast with natural images, the scale, distribution, and number of objects …
language. In contrast with natural images, the scale, distribution, and number of objects …