Results 51 to 60 of about 287,687 (294)
The Influence of the Shape and Size of the Cell on Developing Military Passability Maps
ISPRS International Journal of Geo-Information, 2018 The necessity to divide the analysed area into basic elements, regardless of the administrative division (cells or pixels, also called primary fields), and use them to prepare thematic maps emerged as early as by the end of the 19th century.
Krzysztof Pokonieczny, Albina Mościcka
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Sensors, 2023 Identifying terrain parameters is important for high-fidelity simulation and high-performance control of planetary rovers. The wheel–terrain interaction classes (WTICs) are usually different for rovers traversing various types of terrain.
Fengtian Lv +6 more
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Airborne LiDAR for DEM generation: some critical issues [PDF]
, 2008 Airborne LiDAR is one of the most effective and reliable means of terrain data collection. Using LiDAR data for DEM generation is becoming a standard practice in spatial related areas.
Liu, Xiaoye
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Hard‐Magnetic Soft Millirobots in Underactuated Systems
Advanced Robotics Research, EarlyView.This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
Three-Channel Convolutional Neural Network for Polarimetric SAR Images Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Terrain classification is an important topic in polarimetric synthetic aperture radar (PolSAR) image processing and interpretation. A novel PolSAR classification method based on the three-channel convolutional neural network (Tc-CNN) is proposed and this
Wenqiang Hua, Wen Xie, Xiaomin Jin
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Feature-based terrain classification for LittleDog [PDF]
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012 Recent work in terrain classification has relied largely on 3D sensing methods and color based classification. We present an approach that works with a single, compact camera and maintains high classification rates that are robust to changes in illumination.
Paul Filitchkin, Katie Byl
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Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review
Advanced Robotics Research, EarlyView.Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang +14 more
wiley +1 more source
Remote Sensing, 2023 Polarimetric synthetic aperture radar (PolSAR) is widely used in remote sensing applications due to its ability to obtain full-polarization information. Compared to the quad-pol SAR, the dual-pol SAR mode has a wider observation swath and is more common ...
Junwu Deng +4 more
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Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands [PDF]
, 2013 Water bodies are ubiquitous features in Arctic wetlands. Ponds, i.e., waters with a surface area smaller than 104 m2, have been recognized as hotspots of biological activity and greenhouse gas emissions but are not well inventoried.
Abnizova, Anna +3 more
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Polarimetric SAR Image Terrain Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 In practical applications of automated terrain classification from high-resolution polarimetric synthetic aperture radar (PolSAR) imagery, different terrain types may inherently contain a high level of internal variability, as when a broadly defined class (e.g., “trees”) contains elements arising from multiple subclasses (pine, oak, and willow).
R. Derek West +5 more
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