Results 41 to 50 of about 3,909,906 (397)

An Optical Remote Sensing Image Matching Method Based on the Simple and Stable Feature Database

open access: yesApplied Sciences, 2023
Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high
Zilu Zhao, Hui Long, Hongjian You
doaj   +1 more source

On the use of INS to improve Feature Matching [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
Abstract. The continuous technological improvement of mobile devices opens the frontiers of Mobile Mapping systems to very compact systems, i.e. a smartphone or a tablet. This motivates the development of efficient 3D reconstruction techniques based on the sensors typically embedded in such devices, i.e.
MASIERO, ANDREA   +3 more
openaire   +6 more sources

ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion [PDF]

open access: yesACM Multimedia, 2021
We tackle the problem of object completion from point clouds and propose a novel point cloud completion network employing an Asymmetrical Siamese Feature Matching strategy, termed as ASFM-Net.
Yaqi Xia   +5 more
semanticscholar   +1 more source

Pattern Matching for Building Feature Extraction [PDF]

open access: yesIEEE Geoscience and Remote Sensing Letters, 2014
We address the problem of detecting building dominant scatterers using a reduced number of measurements with applications to through-the-wall radar (TWR) and urban sensing. We consider oblique illumination, which specially enhances the radar returns from the corners formed by the orthogonal intersection of two walls.
Lagunas Targarona, Eva   +3 more
openaire   +5 more sources

MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
Feature warping is a core technique in optical flow estimation; however, the ambiguity caused by occluded areas during warping is a major problem that remains unsolved.
Shengyu Zhao   +4 more
semanticscholar   +1 more source

Research on Adaptive ORB-SURF Image Matching Algorithm Based on Fusion of Edge Features

open access: yesIEEE Access, 2022
The traditional speeded-up robust features (SURF) algorithm has certain stability in scale, rotation, illumination and other changes. However, this algorithm has problems such as large amount of computation, low matching accuracy, and time-consuming in ...
Leng Han   +4 more
doaj   +1 more source

Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2021
Knowledge distillation extracts general knowledge from a pretrained teacher network and provides guidance to a target student network. Most studies manually tie intermediate features of the teacher and student, and transfer knowledge through predefined ...
Mingi Ji, Byeongho Heo, Sungrae Park
semanticscholar   +1 more source

Matching Algorithm of Statistical Optimization Feature Based on Grid Method

open access: yesXibei Gongye Daxue Xuebao, 2019
The matching algorithm based on image feature points is widely used in image retrieval, target detection, identification and other image processing fields.

doaj   +1 more source

YOLOv3-Based Matching Approach for Roof Region Detection from Drone Images

open access: yesRemote Sensing, 2021
Due to the large data volume, the UAV image stitching and matching suffers from high computational cost. The traditional feature extraction algorithms—such as Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and Oriented FAST ...
Chia-Cheng Yeh   +7 more
doaj   +1 more source

Separable mechanisms underlying global feature-based attention [PDF]

open access: yes, 2012
Feature-based attention is known to operate in a spatially global manner, in that the selection of attended features is not bound to the spatial focus of attention.
Bondarenko, Rowena   +5 more
core   +1 more source

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