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This study aims to develop an optimal solution for enhancing the reliability of monocular height estimation in aerial remote sensing. Urban environments present unique challenges due to the
Abstract Cable inspection and monitoring are crucial for ensuring the structural integrity and safety of cable-supported bridges. In recent years, computer vision (CV)-based methods have
Structural health monitoring (SHM) plays a vital role in ensuring the safety, durability, and performance of civil infrastructure. This review delves into
Updated AI Action Points prioritization weights which results in the following enemies being able to land multiple attacks per turn: Man with eyepatch, Tomb Guardian, Ekushka, Enraged
Therefore, the use of classical shadow detection methods is difficult. The authors of this article explore the possibility of using high-resolution optical
In this letter, we deal with the ambiguous and unsolved problem of height estimation from a single aerial image. Driven by the great success of deep learning, especially deep convolutional
This study investigates CNNs based height estimation from single-view aerial images. To aid the network in learning the geometric representation of the remote sensing image, we used a gradient
Fiber-optic technology has revolutionized the way data is transmitted across the world. Known for its high speed, reliability, and capacity, fiber-optic
The application of Visual Place Recognition methods to aerial imagery is complicated by several factors, such as varying weather conditions, changing seasons, and different times of day. Aerial image
Therefore, we propose to leverage a contrastive learning pre-training strategy to extract the geometric representation of aerial images, which can enable more precise estimation of height
Distributed acoustic sensing (DAS) technology is a fiber-optic based distributed sensing technology. It achieves real-time monitoring of acoustic signals by detecting weak disturbances along
Monocular height estimation represents a fundamental challenge, where researchers must infer three-dimensional height information from single RGB images. This problem has evolved
This study introduces a novel method for inspecting electrical corrosion in ADSS optical fiber cables, characterized by the use of the FC-YOLO network model integrated with a feature
We validate our building height estimation model on a high-resolution dataset captured over central Dublin, Ireland: Lidar point cloud of 2015
The specific characteristics of SAR data make them a valuable source for height estimation, particularly in areas where optical data may be limited or less effective. The final group
Therefore, according to the production characteristics of optical cable industry, this paper proposes an intelligent defect detection method of optical cable reversing area based on machine
This paper presents a comprehensive solution for monocular height estimation in remote sensing, termed HeightFormer, combining multilevel interactions and image-adaptive classification
Clearance regulations dictate a minimum separation of 300 mm between overhead service conductors and optical fiber cables, with additional height requirements above roofs. Exceptions allow for
Anomaly detection for telecom aerial optical cables with variational auto encoder leveraging DAS data Abstract: Telecommunication aerial optical cables frequently experience structural failures that cause
They can carry multiple sensors and operate in close proximity to plants, enabling the acquisition of high-resolution and high-precision phenotypic data. However, compared to aerial
Fiber optics cables have revolutionized the way a common household uses internet connectivity and also the way surveillance is carried out at high-security and critical industry establishments.
This study presents high-resolution canopy height maps at a jurisdictionial scale based on VHR (Maxar) optical imagery trained on aerial lidar and calibrated with spaceborn lidar (GEDI) data
Discover aerial fiber optic cables including ADSS, Figure-8, and OPGW types. Learn key advantages and expert installation tips for reliable
This work shows a procedural method for extracting object heights from LiDAR and aerial imagery. We discuss how to get heights and the future of LiDAR and imagery processing.
Relative height information about objects lying on a ground plane can be calculated through several processing steps from the depth image. In this paper, we propose a height