Synthetic Data generation using DCGAN for improved traffic sign recognition
Traffic sign detection and recognition perform a vital function in real-world driver guidance
applications, including driver assistance systems. Research into vision-based traffic sign …
applications, including driver assistance systems. Research into vision-based traffic sign …
An urban water extraction method combining deep learning and Google Earth engine
Urban water is important for the urban ecosystem. Accurate and efficient detection of urban
water with remote sensing data is of great significance for urban management and planning …
water with remote sensing data is of great significance for urban management and planning …
基于深度学习的遥感图像水体提取综述.
温泉， 李璐， 熊立， 杜磊， 刘庆杰… - Remote Sensing for …, 2024 - search.ebscohost.com
对江河湖泊等水体目标的空间分布, 时序变化进行及时, 准确的检测和统计具有十分重要的意义
和应用价值, 已成为当前遥感地表观测研究的重要热点. 传统水体提取方法依靠经验设计的指数 …
和应用价值, 已成为当前遥感地表观测研究的重要热点. 传统水体提取方法依靠经验设计的指数 …
Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review
Abstract Surface Water Mapping (SWM) is essential for studying hydrological and ecological
phenomena. SWM holds significant importance in water resource management …
phenomena. SWM holds significant importance in water resource management …
A deep learning method of water body extraction from high resolution remote sensing images with multisensors
M Li, P Wu, B Wang, H Park, H Yang… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Water body extraction from remote sensing images is an important task. Deep learning has
become a more popular method for extracting water bodies from remote sensing images …
become a more popular method for extracting water bodies from remote sensing images …
River fragmentation and barrier impacts on fishes have been greatly underestimated in the upper Mekong River
River barriers reduce river connectivity and lead to fragmentation of fish habitats, which can
result in decline or even extinction of aquatic biota, including fish populations. In the Mekong …
result in decline or even extinction of aquatic biota, including fish populations. In the Mekong …
[HTML][HTML] Systematic method for mapping fine-resolution water cover types in China based on time series Sentinel-1 and 2 images
Y Li, Z Niu - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Humans have been transforming natural surface water bodies into various types of artificial
water cover to meet the growing demand for food, energy, and flood protection in recent …
water cover to meet the growing demand for food, energy, and flood protection in recent …
Using deep learning for automatic water stage measurements
A Eltner, PO Bressan, T Akiyama… - Water Resources …, 2021 - Wiley Online Library
Image‐based gauging stations can allow for significant densification of monitoring networks
of river water stages. However, thus far, most camera gauges do not provide the robustness …
of river water stages. However, thus far, most camera gauges do not provide the robustness …
[HTML][HTML] UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery
This paper presents a Convolutional Neural Networks (CNN) based Unsupervised
Curriculum Learning approach for the recognition of water bodies to overcome the stated …
Curriculum Learning approach for the recognition of water bodies to overcome the stated …
Evaluation of robust spatial pyramid pooling based on convolutional neural network for traffic sign recognition system
Traffic sign recognition (TSR) is a noteworthy issue for real-world applications such as
systems for autonomous driving as it has the main role in guiding the driver. This paper …
systems for autonomous driving as it has the main role in guiding the driver. This paper …