Results 121 to 130 of about 2,797,503 (360)
The Automatic Extraction of Roads from LIDAR data [PDF]
, 2004 A method for the automatic detection of roads from airborne laser scanner data is presented. Traditionally, intensity information has not been used in feature extraction from LIDAR data because the data is too noisy. This article deals with using as much
Clode, Simon +2 more
core +1 more source
JointNet: A Common Neural Network for Road and Building Extraction
Remote Sensing, 2019 Automatic extraction of ground objects is fundamental for many applications of remote sensing. It is valuable to extract different kinds of ground objects effectively by using a general method.
Zhengxin Zhang, Yunhong Wang
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study explores combining two existing aerospace titanium alloy powders, processing them via field‐assisted sintering technology and the subsequent discovery of a novel alloy composition, termed S23, with ultra‐high tensile toughness. Fine‐scale alpha precipitates favorably form in the alloy despite the relatively slow cooling, providing an ...
Samuel Lister +2 more
wiley +1 more source
DEEP FULLY RESIDUAL CONVOLUTIONAL NEURAL NETWORK FOR SEMANTIC IMAGE SEGMENTATION [PDF]
, 2018 Department of Computer Science and EngineeringThe goal of semantic image segmentation is to partition the pixels of an image into semantically meaningful parts and classifying those parts according to a predefined label set.
Tousi, Ali
core
Some Requests for Machine Learning Research from the East African Tech Scene
, 2018 Based on 46 in-depth interviews with scientists, engineers, and CEOs, this document presents a list of concrete machine research problems, progress on which would directly benefit tech ventures in East Africa.Comment: Presented at NIPS 2018 Workshop on ...
Cvitkovic, Milan
core +1 more source
RIRNet: A Direction-Guided Post-Processing Network for Road Information Reasoning
Remote SensingRoad extraction from high-resolution remote sensing images (HRSIs) is one of the tasks in image analysis. Deep convolutional neural networks have become the primary method for road extraction due to their powerful feature representation capability ...
Guoyuan Zhou +6 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
wiley +1 more source
Traffic monitoring using image processing : a thesis presented in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Telecommunications Engineering at Massey University, Palmerston North, New Zealand [PDF]
, 2007 Traffic monitoring involves the collection of data describing the characteristics of vehicles and their movements. Such data may be used for automatic tolls, congestion and incident detection, law enforcement, and road capacity planning etc.
Li, Rui
core
Advanced Engineering Materials, EarlyView.This work reveals the phase composition and quantitative morphology analysis of precipitation‐hardened Fe32Cu12Ni11Ti16Al29 complex‐concentrated alloy. The precipitates are shown to have a high coherency. Morphology transition between sphere, cuboidal, and elongated morphology is observed. Finally, the overaging behavior is captured using microhardness.
Rostyslav Nizinkovskyi +4 more
wiley +1 more source
Lane-Level Road Extraction from High-Resolution Optical Satellite Images
Remote Sensing, 2019 High-quality updates of road information play an important role in smart city planning, sustainable urban expansion, vehicle management, urban planning, traffic navigation, public health and other fields.
Jiguang Dai +4 more
doaj +1 more source