Remote data for map** and monitoring coastal phenomena and parameters: A systematic review

RM Cavalli - Remote Sensing, 2024 - mdpi.com
Since 1971, remote sensing techniques have been used to map and monitor phenomena
and parameters of the coastal zone. However, updated reviews have only considered one …

SuperYOLO: Super resolution assisted object detection in multimodal remote sensing imagery

J Zhang, J Lei, W ** on hyperspectral remote sensing images using adversarial domain adaptation network
Y Huang, J Peng, N Chen, W Sun, Q Du, K Ren… - ISPRS Journal of …, 2023 - Elsevier
Wetlands are one of the most important ecosystems on the Earth, and using hyperspectral
remote sensing (RS) technology for fine wetland map** is important for restoring and …

Hyperspectral and SAR image classification via multiscale interactive fusion network

J Wang, W Li, Y Gao, M Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the limitations of single-source data, joint classification using multisource remote
sensing data has received increasing attention. However, existing methods still have certain …

Multiarea target attention for hyperspectral image classification

H Liu, W Li, XG **a, M Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In hyperspectral image (HSI) classification, objects corresponding to pixels of different
classes exhibit varying size characteristics, which causes a challenge for effective pixelwise …

Self-supervised locality preserving low-pass graph convolutional embedding for large-scale hyperspectral image clustering

Y Ding, Z Zhang, X Zhao, Y Cai, S Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to prior knowledge deficiency, large spectral variability, and high dimension of
hyperspectral image (HSI), HSI clustering is extremally a fundamental but challenging task …