Deepness: Deep neural remote sensing plugin for QGIS
[ 1 ] Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ 2 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee
[2.2] Automation, electronics, electrical engineering and space technologies
2023
scientific article
english
- QGIS
- Deep learning
- Remote sensing
- Segmentation
- Object detection
EN 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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Article number: 101495
CC BY (attribution alone)
open journal
final published version
at the time of publication
public
200
2,4