Results 21 to 30 of about 419,821 (302)
Probabilistic, Features-Based Object Recognition [PDF]
, 2008 Object recognition is of fundamental importance in computer vision. In a few years, pedestrian detection, car detection, and more generally scene recognition will likely be reliable enough to allow fully-automated car navigation, and the human driver ...
Moreels, Pierre
core +1 more source
GIScience & Remote Sensing, 2019 Hydroacoustic and optical remote sensing have been commonly used to map shallow nearshore benthic features. However, the number, type, scale, and accuracy of the mapping products that can be obtained from the two sensors differ; as such, there can be ...
Kurt McLaren +2 more
doaj +1 more source
Remote Sensing, 2018 Upgrading all slums in Lagos by 2030 will an ambitious task, given that more than 70% of its residents resides in slums. Furthermore, there is no recent study identifying neither the slums nor their temporal growth/development pattern in Lagos that can ...
Olabisi S. Badmos +4 more
doaj +1 more source
Remote Sensing, 2019 Mapping of surface glacier facies has been a part of several glaciological applications. The study of glacier facies in the Himalayas has gained momentum in the last decade owing to the implications imposed by these facies on the melt characteristics of ...
Shridhar D. Jawak +2 more
doaj +1 more source
Pemetaan Habitat Bentik Pulau Salarangan Menggunakan Metode Object-Based Image Analysis
Rekayasa, 2021 Salarangan Island has supporting ecosystems that are seagrass and coral reefs with a high increase in biological competence. Basic information about the distribution map of benthic habitats on Salarangan Island is not yet available so that technology is ...
Citra Arum Sari, Achmad Fachruddin Syah
doaj +1 more source
On the usability of deep networks for object-based image analysis [PDF]
GEOBIA 2016: Solutions and synergies, 2016 As computer vision before, remote sensing has been radically changed by the introduction of Convolution Neural Networks. Land cover use, object detection and scene understanding in aerial images rely more and more on deep learning to achieve new state-of-the-art results.
Audebert, Nicolas +2 more
openaire +3 more sources
An Integrated Approach for Monitoring Contemporary and Recruitable Large Woody Debris
Remote Sensing, 2016 Large woody debris (LWD) plays a critical structural role in riparian ecosystems, but it can be difficult and time-consuming to quantify and survey in the field.
Jeffrey J. Richardson, L. Monika Moskal
doaj +1 more source
Evidential split-and-merge: Application to object-based image analysis [PDF]
International Journal of Approximate Reasoning, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lachaize, Marie +4 more
openaire +2 more sources
Object recognition methods based on RGB-D images
Xi'an Gongcheng Daxue xuebao, 2021 Object recognition is one of the main contents of machine vision research. RGB-D image, which integrates depth features, provides a new way for accuracy improving of object recognition.
Xun LI +5 more
doaj +1 more source
Application of Deep Learning-Based Object Detection Techniques in Fish Aquaculture: A Review
Journal of Marine Science and Engineering, 2023 Automated monitoring and analysis of fish’s growth status and behaviors can help scientific aquaculture management and reduce severe losses due to diseases or overfeeding.
Hanchi Liu +4 more
doaj +1 more source