Results 101 to 110 of about 287,687 (294)

Archaeological Damage Assessment in Conflict Zones: Integrating Satellite Imagery and Ground Surveys in Daraa, Syria

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem   +5 more
wiley   +1 more source

Three-Dimensional Vibration-Based Terrain Classification for Mobile Robots

open access: yesIEEE Access, 2019
Extraterrestrial celestial patrol missions have introduced very strict requirements for the performance of rovers, due to their high cost. Vision-based or Lidar-based environment sensing technology has matured.
Chengchao Bai   +2 more
doaj   +1 more source

Comparison of three modelling approaches of potential natural forest habitats in Bavaria, Germany [PDF]

open access: yes, 2005
In the context of the EU Habitats Directive, which contains the obligation of environmental monitoring, nature conservation authorities face a growing demand for effective and competitive methods to survey protected habitats.
Förster, Michael   +2 more
core  

Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails

open access: yes, 2019
Robots hold promise in many scenarios involving outdoor use, such as search-and-rescue, wildlife management, and collecting data to improve environment, climate, and weather forecasting.
Iuzzolino, Michael L.   +2 more
core   +1 more source

Loss Regularizing Robotic Terrain Classification

open access: yes
Locomotion mechanics of legged robots are suitable when pacing through difficult terrains. Recognising terrains for such robots are important to fully yoke the versatility of their movements. Consequently, robotic terrain classification becomes significant to classify terrains in real time with high accuracy.
Kumar, Shakti Deo   +4 more
openaire   +2 more sources

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban   +13 more
wiley   +1 more source

“Hidden” Landscape of Prehistoric Burial Monuments: The Use of Remote Sensing in the Detection of Neolithic Long Barrows in Bohemia (Czech Republic)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Neolithic long barrows are among the earliest monumental structures in Europe, yet in many parts of Central Europe their surface expression has been largely erased by long‐term agricultural activity. This study evaluates the potential of integrated remote sensing approaches for identifying and contextualizing long barrows and associated ...
Petr Krištuf   +5 more
wiley   +1 more source

A Fully Convolutional Network for Semantic Labeling of 3D Point Clouds

open access: yes, 2017
When classifying point clouds, a large amount of time is devoted to the process of engineering a reliable set of features which are then passed to a classifier of choice.
Ientilucci, Emmett J.   +3 more
core   +1 more source

Coherence‐Gated Wrapped‐Phase InSAR With Matrix‐Based Uncertainty Diagnostics for Burial‐Mound Hotspot Ranking (Sicily, Italy)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino   +2 more
wiley   +1 more source

Optimizing Terrain Classification Methods for the Determination of Bedrock Depth and the Average Shear Wave Velocity of Soil

open access: yesRemote Sensing
The advancement of remote sensing has enabled the creation of high-resolution Digital Elevation Models (DEMs). Topographic features such as slope gradient (SG), local convexity (LC), and surface texture (ST), derived from DEMs, are related to subsurface ...
Inhyeok Choi, Dongyoup Kwak
doaj   +1 more source

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