Results 21 to 30 of about 26,694 (289)
To achieve effective deep fusion features for improving the classification accuracy of hyperspectral remote sensing images (HRSIs), a pixel frequency spectrum feature is presented and introduced to convolutional neural networks (CNNs).
Jing Liu, Zhe Yang, Yi Liu, Caihong Mu
doaj +1 more source
Geomorphological slope units of the Himalayas
Slope units represent surface slopes by means of polygons delimited by drainage and divide lines obtained on a digital topography. Objective slope unit delineation for a given digital elevation model is still an open issue and, often, a limitation that ...
Massimiliano Alvioli +4 more
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Using acoustic sensor technologies to create a more terrain capable unmanned ground vehicle [PDF]
Unmanned Ground Vehicle’s (UGV) have to cope with the most complex range of dynamic and variable obstacles and therefore need to be highly intelligent in order to cope with navigating in such a cluttered environment.
Mehmet Ali Erbil +9 more
core +1 more source
Analysis and Classification of SAR Textures Using Information Theory
The use of Bandt–Pompe probability distributions and descriptors of information theory has been presenting satisfactory results with low computational cost in the time series analysis literature [1]–[3].
Eduarda T. C. Chagas +3 more
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Gyroscope explorer terrain angles classification [PDF]
Mobile Applications (Apps) offer numerous advantages related to entertainment, communication, monitoring and sensing to name a few. In this study, a Gyroscope Explorer Apps is employed for data gathering of azimuth, pitch, and roll. The mobile phone is carried by Lego Mindstorms (EV3), in which it travels the ladder into the different angles: 4.13°, 7 ...
Christofer N. Yalung +4 more
openaire +2 more sources
Off-road terrain classification [PDF]
Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2022.Road traffic accidents place a burden on the global economy. This impact is reduced by the development of safer vehicles.
core
What Lies Beneath One’s Feet? Terrain Classification Using Inertial Data of Human Walk
The objective of this study was to investigate if the inertial data collected from normal human walk can be used to reveal the underlying terrain types.
Muhammad Zeeshan Ul Hasnain Hashmi +3 more
doaj +1 more source
Since the existing terrain classification algorithm based on deep learning is not ideal for unbalanced PolSAR classification, a effective terrain classification algorithm based on wavelet kernel sparse deep coding network under unbalanced data set is ...
Xiangdong Chen, Jianghong Deng
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Development of unified classifier of special terrain maps using geoinformation technologies
A method for creating a unified classifier of special terrain maps using geoinformation technologies is presented. The existing classifiers of maps of the operational and tactical situation, special and topographic terrain maps used in the Armed Forces ...
Aliaksei S. Cherenko
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Feature-based terrain classification for LittleDog [PDF]
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
openaire +1 more source

