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1
Feasibility Study on the Classification of Persimmon Trees’ Components Based on Hyperspectral LiDAR
Published 2023-03-01Subjects: Get full text
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2
Stairs and Doors Recognition as Natural Landmarks Based on Clouds of 3D Edge-Points from RGB-D Sensors for Mobile Robot Localization
Published 2017-08-01Subjects: Get full text
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3
Effective Selection of Variable Point Neighbourhood for Feature Point Extraction from Aerial Building Point Cloud Data
Published 2021-04-01Subjects: Get full text
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4
A Coarse-to-Fine Registration Strategy for Multi-Sensor Images with Large Resolution Differences
Published 2019-02-01Subjects: Get full text
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5
Potato Late Blight Detection at the Leaf and Canopy Levels Based in the Red and Red-Edge Spectral Regions
Published 2020-04-01Subjects: Get full text
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6
Machine learning-based segmentation of aerial LiDAR point cloud data on building roof
Published 2023-12-01Subjects: Get full text
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7
Local image descriptor based on spectral embedding
Published 2015-04-01Subjects: Get full text
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8
Edge-Cloud Remote Sensing Data-Based Plant Disease Detection Using Deep Neural Networks With Transfer Learning
Published 2024-01-01Subjects: “…Edge point cloud…”
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9
Robust Frontal Vehicle Pose Estimation Based on Structural Parameter Optimization Using Reliable Edge Point Sequences
Published 2023-12-01Subjects: Get full text
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10
Drawing System with Dobot Magician Manipulator Based on Image Processing
Published 2021-11-01Subjects: Get full text
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11
Development and implementation of grade 62PP steel production with special requirements for non‑metallic inclusions content
Published 2023-12-01Subjects: Get full text
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12
An easy iris center detection method for eye gaze tracking system
Published 2015-10-01Subjects: Get full text
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13
SAR Image Registration: The Combination of Nonlinear Diffusion Filtering, Hessian Features and Edge Points
Published 2024-07-01Subjects: Get full text
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14
Lost and found twice: Discussion of an early post-glacial single-edged tanged point from Brodgar on Orkney, Scotland
Published 2016-03-01Subjects: Get full text
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