Deepness: Deep neural remote sensing plugin for QGIS

This paper presents Deepness - an open-source plugin for the QGIS application, allowing the easy employment of neural network models on any raster layer representing a matrix of values or image data. Deep neural networks show a clear improvement in computer vision tasks, enabling the automatic perfo...

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Main Authors: Przemysław Aszkowski, Bartosz Ptak, Marek Kraft, Dominik Pieczyński, Paweł Drapikowski
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:SoftwareX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711023001917
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author Przemysław Aszkowski
Bartosz Ptak
Marek Kraft
Dominik Pieczyński
Paweł Drapikowski
author_facet Przemysław Aszkowski
Bartosz Ptak
Marek Kraft
Dominik Pieczyński
Paweł Drapikowski
author_sort Przemysław Aszkowski
collection DOAJ
description This paper presents Deepness - an open-source plugin for the QGIS application, allowing the easy employment of neural network models on any raster layer representing a matrix of values or image data. Deep neural networks show a clear improvement in computer vision tasks, enabling the automatic performance of, among others, regression, segmentation and detection of objects in the images. The Deepness plugin supports model types that complete the abovementioned tasks, linking deep learning inference directly with the most popular geographic information system (GIS) application. Moreover, a model registry with ready-to-use models is provided, bringing the power of deep learning to users without machine learning expertise. This enables augmenting the familiar, established workflow with new functionalities.
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spelling doaj.art-822df861b67a4a1b8925a0d08d6acdc72023-09-21T04:37:42ZengElsevierSoftwareX2352-71102023-07-0123101495Deepness: Deep neural remote sensing plugin for QGISPrzemysław Aszkowski0Bartosz Ptak1Marek Kraft2Dominik Pieczyński3Paweł Drapikowski4Poznań University of Technology, Institute of Robotics and Machine Intelligence, Piotrowo 3A, 60-965 Poznań, PolandPoznań University of Technology, Institute of Robotics and Machine Intelligence, Piotrowo 3A, 60-965 Poznań, PolandCorresponding author.; Poznań University of Technology, Institute of Robotics and Machine Intelligence, Piotrowo 3A, 60-965 Poznań, PolandPoznań University of Technology, Institute of Robotics and Machine Intelligence, Piotrowo 3A, 60-965 Poznań, PolandPoznań University of Technology, Institute of Robotics and Machine Intelligence, Piotrowo 3A, 60-965 Poznań, PolandThis paper presents Deepness - an open-source plugin for the QGIS application, allowing the easy employment of neural network models on any raster layer representing a matrix of values or image data. Deep neural networks show a clear improvement in computer vision tasks, enabling the automatic performance of, among others, regression, segmentation and detection of objects in the images. The Deepness plugin supports model types that complete the abovementioned tasks, linking deep learning inference directly with the most popular geographic information system (GIS) application. Moreover, a model registry with ready-to-use models is provided, bringing the power of deep learning to users without machine learning expertise. This enables augmenting the familiar, established workflow with new functionalities.http://www.sciencedirect.com/science/article/pii/S2352711023001917QGISDeep learningRemote sensingSegmentationObject detection
spellingShingle Przemysław Aszkowski
Bartosz Ptak
Marek Kraft
Dominik Pieczyński
Paweł Drapikowski
Deepness: Deep neural remote sensing plugin for QGIS
SoftwareX
QGIS
Deep learning
Remote sensing
Segmentation
Object detection
title Deepness: Deep neural remote sensing plugin for QGIS
title_full Deepness: Deep neural remote sensing plugin for QGIS
title_fullStr Deepness: Deep neural remote sensing plugin for QGIS
title_full_unstemmed Deepness: Deep neural remote sensing plugin for QGIS
title_short Deepness: Deep neural remote sensing plugin for QGIS
title_sort deepness deep neural remote sensing plugin for qgis
topic QGIS
Deep learning
Remote sensing
Segmentation
Object detection
url http://www.sciencedirect.com/science/article/pii/S2352711023001917
work_keys_str_mv AT przemysławaszkowski deepnessdeepneuralremotesensingpluginforqgis
AT bartoszptak deepnessdeepneuralremotesensingpluginforqgis
AT marekkraft deepnessdeepneuralremotesensingpluginforqgis
AT dominikpieczynski deepnessdeepneuralremotesensingpluginforqgis
AT pawełdrapikowski deepnessdeepneuralremotesensingpluginforqgis