[HTML][HTML] Subsurface drainage pipe detection using an ensemble learning approach and aerial images
Subsurface drainage pipes are commonly used in the Midwestern United States to reduce
excess soil moisture and improve crop yields. However, they are the considerable source of …
excess soil moisture and improve crop yields. However, they are the considerable source of …
Detecting subsurface drainage pipes using a fully convolutional network with optical images
More than half of croplands in the Midwestern United States are equipped with subsurface
drainage pipes to reduce excess water in productive but wet areas. The use of drainage …
drainage pipes to reduce excess water in productive but wet areas. The use of drainage …
Advanced deep learning architectures for accurate detection of subsurface tile drainage pipes from remote sensing images
TL Breitkopf, L Hackel, M Ravanbakhsh… - Image and Signal …, 2022 - spiedigitallibrary.org
Subsurface tile drainage pipes provide agronomic, economic and environmental benefits.
By lowering the water table of wet soils, they improve the aeration of plant roots and …
By lowering the water table of wet soils, they improve the aeration of plant roots and …
Water pipeline leak detection based on a pseudo-siamese convolutional neural network: Integrating handcrafted features and deep representations
P Zhang, J He, W Huang, J Zhang, Y Yuan, B Chen… - Water, 2023 - mdpi.com
The detection of leaks in water distribution systems (WDS) has always been a major concern
for urban water supply companies. However, the performance of traditional leak detection …
for urban water supply companies. However, the performance of traditional leak detection …
Mapping subsurface utility pipes by 3-D convolutional neural network and Kirchhoff migration using GPR images
T Yamaguchi, T Mizutani… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we focus on ground-penetrating radar (GPR) for subsurface utility pipe
detection. Due to the dense and high-speed 3-D monitoring, GPR is a promising tool …
detection. Due to the dense and high-speed 3-D monitoring, GPR is a promising tool …
PIPE-CovNet: Automatic in-pipe wastewater infrastructure surface abnormality detection using convolutional neural network
Regular inspection of multibillion dollar wastewater pipe infrastructure is crucial to any city
around the globe. Traditional processes of inspection are laborious, time-consuming, and …
around the globe. Traditional processes of inspection are laborious, time-consuming, and …
[HTML][HTML] Drainage ditch network extraction from lidar data using deep convolutional neural networks in a low relief landscape
Drainage networks composed of small, channelized ditches are very common in the eastern
United States. These are human-made features commonly constructed for wetland drainage …
United States. These are human-made features commonly constructed for wetland drainage …
[HTML][HTML] Identifying private pumping wells in a land subsidence area in Taiwan using deep learning technology and street view images
CW Huang, SY Yau, CL Kuo, TY Kuan, SY Lin… - Journal of Hydrology …, 2024 - Elsevier
Abstract Study region The Choushui River Fan, Taiwan. Study focus Groundwater overdraft
has led to not only groundwater depletion but also environmental disasters, such as …
has led to not only groundwater depletion but also environmental disasters, such as …
GeoAI-based drainage crossing detection for elevation-derived hydrographic mapping
The increasing availability of High-Resolution Digital Elevation Models (HRDEMs) allows
accurate delineation of stream and drainage flowlines at the field scale. However, the …
accurate delineation of stream and drainage flowlines at the field scale. However, the …
Deep learning-based automatic defect detection method for sewer pipelines
D Shen, X Liu, Y Shang, X Tang - Sustainability, 2023 - mdpi.com
To address the issues of low automation, reliance on manual screening by professionals,
and long detection cycles in current urban drainage pipeline defect detection, this study …
and long detection cycles in current urban drainage pipeline defect detection, this study …