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[HTML][HTML] A review of supervised object-based land-cover image classification
Object-based image classification for land-cover map** purposes using remote-sensing
imagery has attracted significant attention in recent years. Numerous studies conducted over …
imagery has attracted significant attention in recent years. Numerous studies conducted over …
[HTML][HTML] Sensors, features, and machine learning for oil spill detection and monitoring: A review
Remote sensing technologies and machine learning (ML) algorithms play an increasingly
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …
Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling
Abstract Machine learning algorithms such as Random Forest (RF) are being increasingly
applied on traditionally geographical topics such as population estimation. Even though RF …
applied on traditionally geographical topics such as population estimation. Even though RF …
An intelligent fault diagnosis approach for multirotor UAVs based on deep neural network of multi-resolution transform features
As a modern technological trend, unmanned aerial vehicles (UAVs) are extensively
employed in various applications. The core purpose of condition monitoring systems …
employed in various applications. The core purpose of condition monitoring systems …
Geographic object-based image analysis (GEOBIA): Emerging trends and future opportunities
Over the last two decades (since ca. 2000), Geographic Object-Based Image Analysis
(GEOBIA) has emerged as a new paradigm to analyzing high-spatial resolution remote …
(GEOBIA) has emerged as a new paradigm to analyzing high-spatial resolution remote …
Very high resolution object-based land use–land cover urban classification using extreme gradient boosting
In this letter, the recently developed extreme gradient boosting (Xgboost) classifier is
implemented in a very high resolution (VHR) object-based urban land use-land cover …
implemented in a very high resolution (VHR) object-based urban land use-land cover …
Dynamics of ecosystem services (ESs) in response to land use land cover (LU/LC) changes in the lower Gangetic plain of India
The ecosystems provide a range of material as well as non-material services that contribute
to human well-being as well as supply necessary resources for the organisms. The land …
to human well-being as well as supply necessary resources for the organisms. The land …
[HTML][HTML] Land cover classification from fused DSM and UAV images using convolutional neural networks
In recent years, remote sensing researchers have investigated the use of different modalities
(or combinations of modalities) for classification tasks. Such modalities can be extracted via …
(or combinations of modalities) for classification tasks. Such modalities can be extracted via …
[HTML][HTML] Exploring spatiotemporal effects of the driving factors on COVID-19 incidences in the contiguous United States
Since December 2019, the world has witnessed the stringent effect of an unprecedented
global pandemic, coronavirus disease 2019 (COVID-19), caused by the severe acute …
global pandemic, coronavirus disease 2019 (COVID-19), caused by the severe acute …
[HTML][HTML] Recent advances in forest insect pests and diseases monitoring using UAV-based data: A systematic review
Unmanned aerial vehicles (UAVs) are platforms that have been increasingly used over the
last decade to collect data for forest insect pest and disease (FIPD) monitoring. These …
last decade to collect data for forest insect pest and disease (FIPD) monitoring. These …