Results 41 to 50 of about 6,343,053 (206)
Leida xuebao, 2019 For the fast detection of ships in large-scale remote sensing images, a cascade convolutional neural network is proposed, which is a cascade combination of two Fully Convolutional Neural networks (FCNs), the target FCN for Prescreening (P-FCN), and the ...
CHEN Huiyuan +4 more
doaj +1 more source
Fully convolutional neural network for Malaysian road lane detection [PDF]
, 2018 Recently, a deep learning, Fully Convolutional Neural Network (FCN) has been widely studied because it can demonstrate promising results in the application of detection of objects in an image or video.
Ariff, M. H. +5 more
core +1 more source
Automatic detection of cone photoreceptors with fully convolutional networks [PDF]
, 2019 Purpose: To develop a fully automatic method, based on deep learning algorithms, for determining the locations of cone photoreceptors within adaptive optics scanning laser ophthalmoscope images and evaluate its performance against a dataset of manually ...
Alonso-Caneiro, D +4 more
core +2 more sources
Multispecies bird sound recognition using a fully convolutional neural network [PDF]
Applied intelligence (Boston), 2023 This study proposes a method based on fully convolutional neural networks (FCNs) to identify migratory birds from their songs, with the objective of recognizing which birds pass through certain areas and at what time.
M. García-Ordás +4 more
semanticscholar +1 more source
ISPRS Int. J. Geo Inf., 2021 Dockless electric scooters (e-scooter) have emerged as a green alternative to automobiles and a solution to the first- and last-mile problems. Demand anticipation, or being able to accurately predict spatiotemporal demand of e-scooter usage, is one ...
S. Phithakkitnukoon +2 more
semanticscholar +1 more source
Color image splicing localization algorithm by quaternion fully convolutional networks and superpixel-enhanced pairwise conditional random field [PDF]
, 2019 Recently, fully convolutional network (FCN) has been successfully used to locate spliced regions in synthesized images. However, all the existing FCN-based algorithms use real-valued FCN to process each channel separately.
Hong, Xiaopeng +6 more
core +1 more source
Remote Sensing, 2019 Boundaries of agricultural fields are important features necessary for defining the location, shape, and spatial extent of agricultural units. They are commonly used to summarize production statistics at the field level. In this study, we investigate the
Khairiya Mudrik Masoud +2 more
doaj +1 more source
Attention Mechanism Cloud Detection With Modified FCN for Infrared Remote Sensing Images
IEEE Access, 2021 Semantic segmentation (SS) has been widely applied for cloud detection (CD) in remote sensing images (RSIs) with high spatial and spectral resolution because of its effective pixel-level feature extraction structure.
Liyuan Li +5 more
doaj +1 more source
Class-Wise Fully Convolutional Network for Semantic Segmentation of Remote Sensing Images
Remote Sensing, 2021 Semantic segmentation is a fundamental task in remote sensing image interpretation, which aims to assign a semantic label for every pixel in the given image.
Tian Tian, Zhengquan Chu, Qian Hu, Li Ma
semanticscholar +1 more source
Boundary-aware fully convolutional network for brain tumor segmentation [PDF]
, 2017 We propose a novel, multi-task, fully convolutional network (FCN) architecture for automatic segmentation of brain tumor. This network extracts multi-level contextual information by concatenating hierarchical feature representations extracted from ...
Haocheng Shen +7 more
core +1 more source