A review of local outlier factor algorithms for outlier detection in big data streams
Outlier detection is a statistical procedure that aims to find suspicious events or items that
are different from the normal form of a dataset. It has drawn considerable interest in the field …
are different from the normal form of a dataset. It has drawn considerable interest in the field …
Change detection from remotely sensed images: From pixel-based to object-based approaches
M Hussain, D Chen, A Cheng, H Wei… - ISPRS Journal of …, 2013 - Elsevier
The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …
information provides a base for a large number of applications, including local, regional and …
RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification
Developments in remote sensing technology have led to a continuous increase in the
volume of remote-sensing data, which can be qualified as big remote sensing data. A wide …
volume of remote-sensing data, which can be qualified as big remote sensing data. A wide …
Machine learning in telemetry data mining of space mission: basics, challenging and future directions
The development of an intelligent artificial satellite health monitoring system is a key issue in
aerospace engineering that determines satellite health status and failure using telemetry …
aerospace engineering that determines satellite health status and failure using telemetry …
Characterization and spatial modeling of urban sprawl in the Wuhan Metropolitan Area, China
C Zeng, Y Liu, A Stein, L Jiao - … Journal of Applied Earth Observation and …, 2015 - Elsevier
Urban sprawl has led to environmental problems and large losses of arable land in China. In
this study, we monitor and model urban sprawl by means of a combination of remote …
this study, we monitor and model urban sprawl by means of a combination of remote …
A systematic literature review on outlier detection in wireless sensor networks
A wireless sensor network (WSN) is defined as a set of spatially distributed and
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
GeoDMA—Geographic data mining analyst
Remote sensing images obtained by remote sensing are a key source of data for studying
large-scale geographic areas. From 2013 onwards, a new generation of land remote …
large-scale geographic areas. From 2013 onwards, a new generation of land remote …
An assessment of the effectiveness of a rotation forest ensemble for land-use and land-cover mapping
T Kavzoglu, I Colkesen - International journal of remote sensing, 2013 - Taylor & Francis
Increasing the accuracy of thematic maps produced through the process of image
classification has been a hot topic in remote sensing. For this aim, various strategies …
classification has been a hot topic in remote sensing. For this aim, various strategies …
A top-down approach for semantic segmentation of big remote sensing images
W Boulila - Earth Science Informatics, 2019 - Springer
The increasing amount of remote sensing data has opened the door to new challenging
research topics. Nowadays, significant efforts are devoted to pixel and object based …
research topics. Nowadays, significant efforts are devoted to pixel and object based …
A data mining approach for global burned area mapping
Global burned are algorithms provide valuable information for climate modellers since fire
disturbance is responsible of a significant part of the emissions and their related impact on …
disturbance is responsible of a significant part of the emissions and their related impact on …