Zobrazeno 1 - 10
of 2 801
pro vyhledávání: '"Aerial Images"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract With the rapid advancement and application of Unmanned Aerial Vehicles (UAVs), target detection in urban scenes has made significant progress. Achieving precise 3D reconstruction from oblique imagery is essential for accurate urban object de
Externí odkaz:
https://doaj.org/article/55ad28e28a7d4411956e6bc55626d7fe
Autor:
João Batista Ribeiro, Renato Rodrigues da Silva, Jocival Dantas Dias, Mauricio Cunha Escarpinati, André Ricardo Backes
Publikováno v:
Information Processing in Agriculture, Vol 11, Iss 3, Pp 385-396 (2024)
UAVs (Unmanned Aerial Vehicles) have become increasingly popular in the agricultural sector, promoting and enabling the application of aerial image monitoring in both the scientific and business contexts. Images captured by UAVs are fundamental for p
Externí odkaz:
https://doaj.org/article/368003bd9de645afa23f4b75a9ada5fb
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103164- (2024)
Semantic segmentation of small-scale objects in aerial images is challenging due to low-level characteristics in neural networks and varying information in feature maps. Deeplab models struggle with poor edge refinement, resulting in rough borders, a
Externí odkaz:
https://doaj.org/article/a6e703a96cd3416aa5e1162559e05e46
Autor:
Jaime Candelas Bielza, Lennart Noordermeer, Erik Næsset, Terje Gobakken, Johannes Breidenbach, Hans Ole Ørka
Publikováno v:
Science of Remote Sensing, Vol 10, Iss , Pp 100154- (2024)
Tree species composition is essential information for forest management and remotely sensed (RS) data have proven to be useful for its prediction. In forest management inventories, tree species are commonly interpreted manually from aerial images for
Externí odkaz:
https://doaj.org/article/d2a29920de3e4e97b76624684087de20
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 9, Pp 102223- (2024)
Vehicle detection in congested urban scenes is essential for traffic control and safety management. However, the dense arrangement and occlusion of multi-scale vehicles in such environments present considerable challenges for detection systems. To ta
Externí odkaz:
https://doaj.org/article/287db4db95a1474589ed6600ef0a06d0
Autor:
HE Zhiqian, CAO Lijie
Publikováno v:
智能科学与技术学报, Vol 6, Pp 262-271 (2024)
An improved UAVAI-YOLO model was proposed to address the problem of poor target detection in UAV aerial images. Firstly, in order to obtain richer semantic information for the model, the original convolution of the C2f module of the original backbone
Externí odkaz:
https://doaj.org/article/5cf13075e6544c5f845c813529b31db3
Autor:
Ammar Mandourah, Hartwig H. Hochmair
Publikováno v:
Geo-spatial Information Science, Pp 1-16 (2024)
OpenAerialMap (OAM) is a crowdsourcing platform for uploading, hosting, sharing, displaying, searching, and downloading openly licensed Earth image data from around the world. OAM was launched with the primary goal to facilitate rapid disaster respon
Externí odkaz:
https://doaj.org/article/9abab42a8509440c9271d57814d0fd78
Publikováno v:
Radioengineering, Vol 33, Iss 1, Pp 12-23 (2024)
With the advancement of various aerial platforms, there is an increasing abundance of aerial images captured in various environments. However, the detection of densely packed small objects within complex backgrounds remains a challenge. To address th
Externí odkaz:
https://doaj.org/article/0cbe49d940d749b78bf604f6ff12ddb6
Akademický článek
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Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 6, Pp 102113- (2024)
In drone aerial target detection tasks, a high proportion of small targets and complex backgrounds often lead to false positives and missed detections, resulting in low detection accuracy. To improve the accuracy of the detection of small targets, th
Externí odkaz:
https://doaj.org/article/ddbaa92020cf4cc09f7ecc0ef56b6c08