Application of deep learning in multitemporal remote sensing image classification

X Cheng, Y Sun, W Zhang, Y Wang, X Cao, Y Wang - Remote Sensing, 2023 - mdpi.com
The rapid advancement of remote sensing technology has significantly enhanced the
temporal resolution of remote sensing data. Multitemporal remote sensing image …

Toward a better understanding of coastal salt marsh mapping: A case from China using dual-temporal images

C Zhao, M Jia, Z Wang, D Mao, Y Wang - Remote Sensing of Environment, 2023 - Elsevier
Coastal salt marshes suffering from anthropogenic coastal development and sea level rise
have attracted much attention because of their capacity for carbon sequestration and global …

U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding

Z Li, I Demir - Science of The Total Environment, 2023 - Elsevier
Data-driven models for water body extraction have experienced accelerated growth in
recent years, thanks to advances in processing techniques and computational resources, as …

Remote data for mapping 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 …

[HTML][HTML] Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images

B Fu, X He, H Yao, Y Liang, T Deng, H He… - International Journal of …, 2022 - Elsevier
Mangroves are highly productive wetland ecosystems, located at the interlocking area of
tropical and subtropical coastal zones. Accurately mapping the distribution, quality and …

FENet: Feature enhancement network for land cover classification

Z Ma, M Xia, H Lin, M Qian, Y Zhang - International Journal of …, 2023 - Taylor & Francis
Extracting mask information of buildings and water areas from high resolution remote
sensing images is beneficial to monitoring and management of urban development …

Habitat quality evaluation and pattern simulation of coastal salt marsh wetlands

Y Huang, G Zheng, X Li, J Xiao, Z Xu, P Tian - Science of the Total …, 2024 - Elsevier
Coastal salt marsh wetlands not only sequester a large amount of organic carbon, mitigating
the effect of climate change, but also nurture rich wetland resources and diverse ecological …

Improved U-Net remote sensing classification algorithm based on Multi-Feature Fusion Perception

C Yan, X Fan, J Fan, N Wang - Remote Sensing, 2022 - mdpi.com
The selection and representation of remote sensing image classification features play
crucial roles in image classification accuracy. To effectively improve the classification …

Combination of super-resolution reconstruction and SGA-Net for marsh vegetation mapping using multi-resolution multispectral and hyperspectral images

B Fu, X Sun, Y Li, Z Lao, T Deng, H He… - … Journal of Digital …, 2023 - Taylor & Francis
Vegetation is crucial for wetland ecosystems. Human activities and climate changes are
increasingly threatening wetland ecosystems. Combining satellite images and deep …

An effective deep learning model for monitoring mangroves: A case study of the Indus Delta

C Xu, J Wang, Y Sang, K Li, J Liu, G Yang - Remote Sensing, 2023 - mdpi.com
Rapid and accurate identification of mangroves using remote sensing images is of great
significance for assisting ecological conservation efforts in coastal zones. With the rapid …