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 …

[HTML][HTML] Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and …

B Fu, Y Liang, Z Lao, X Sun, S Li, H He, W Sun… - International Journal of …, 2023 - Elsevier
Mangroves play a significant role in carbon sequestration and storage. Map** mangrove
species and monitoring their conditions have been a crucial issue for achieving sustainable …

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 …

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 …

Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers

J Qu, Y Gao, Y Lu, W Xu, RW Liu - Ocean & Coastal Management, 2023 - Elsevier
Visual sensors are widely employed for real-time maritime surveillance. But they always
suffer from some low-visibility problems, typically low light and haze, which greatly reduce …

Characterising the distribution of mangroves along the southern coast of Vietnam using multi-spectral indices and a deep learning model

TV Tran, R Reef, X Zhu, A Gunn - Science of the Total Environment, 2024 - Elsevier
Mangroves are an ecologically and economically valuable ecosystem that provides a range
of ecological services, including habitat for a diverse range of plant and animal species …

Deep learning-based classification of high-resolution satellite images for mangrove map**

Y Wei, Y Cheng, X Yin, Q Xu, J Ke, X Li - Applied Sciences, 2023 - mdpi.com
Detailed information about mangroves is crucial for ecological and environmental protection
and sustainable development. It is difficult to capture small patches of mangroves from …

[HTML][HTML] Land Cover Map** in a Mangrove Ecosystem Using Hybrid Selective Kernel-Based Convolutional Neural Networks and Multi-Temporal Sentinel-2 Imagery

ST Seydi, SA Ahmadi, A Ghorbanian, M Amani - Remote Sensing, 2024 - mdpi.com
Mangrove ecosystems provide numerous ecological services and serve as vital habitats for
a wide range of flora and fauna. Thus, accurate map** and monitoring of relevant land …

[HTML][HTML] Annual change in the distribution and landscape health of mangrove ecosystems in China from 2016 to 2023 with Sentinel imagery

Y Sun, M Ye, B Ai, Z Lai, J Zhao, Z Jian, X Qi - Global Ecology and …, 2025 - Elsevier
As a type of unique coastal wetland, mangroves are subjected to the compounded effects of
human activities and climate change. Acquiring reliable and up-to-date information of …

Quantifying the scale of erosion along major coastal aquifers of Pakistan using geospatial and machine learning approaches

H Aeman, H Shu, H Aisha, I Nadeem… - … Science and Pollution …, 2024 - Springer
Insufficient freshwater recharge and climate change resulted in seawater intrusion in most of
the coastal aquifers in Pakistan. Coastal aquifers represent diverse landcover types with …