Results 141 to 150 of about 558,332 (197)

Enhancing the accuracy and efficiency of Pacific walrus (Odobenus rosmarus divergens) surveys: A comparison of visual and aerial imagery-based counts at coastal haulouts. [PDF]

PLoS One
Altukhov AV, Kryukova NV, Trukhanova IS, Burkanov VN.   +3 more
europepmc   +1 more source

A modified generative adversarial networks with Yolov5 for automated forest health diagnosis from aerial imagery and Tabu search algorithm. [PDF]

Sci Rep
Jayagopal P, Purushothaman Janaki K, Mohan P, Kondapaneni UB, Periyasamy J, Mathivanan SK, Dalu GT.   +6 more
europepmc   +1 more source

RETRACTION: Aerial imagery reveals abnormal stingrays, Taeniura lymma (Myliobatiformes: Dasyatidae), in the central Red Sea. [PDF]

Ecol Evol
europepmc   +1 more source

Aerial imagery reveals abnormal stingrays, Taeniura lymma (Myliobatiformes: Dasyatidae), in the central Red Sea.

Ecol Evol
Ciocănaru IA, Nieuwenhuis BO, Ostrovski RL, Cochran J, Jones BH.   +4 more
europepmc   +1 more source

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Aerial and satellite imagery.

2020
  +12 more sources

Lane-Level Street Map Extraction from Aerial Imagery

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022
Digital maps with lane-level details are the foundation of many applications. However, creating and maintaining digital maps especially maps with lane-level details, are labor-intensive and expensive.
Songtao He, Harinarayanan Balakrishnan
semanticscholar   +1 more source

Aerial Imagery and OPSEC

A. Flowers
openaire   +2 more sources

Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

IEEE Transactions on Geoscience and Remote Sensing, 2019
The application of the convolutional neural network has shown to greatly improve the accuracy of building extraction from remote sensing imagery.
Shunping Ji, Shiqing Wei, Meng Lu
semanticscholar   +1 more source

ASSD: Feature Aligned Single-Shot Detection for Multiscale Objects in Aerial Imagery

IEEE Transactions on Geoscience and Remote Sensing, 2021
Object detection is a fundamental part of the interpretation of remote sensing imagery. The one-stage object detector has been adopted into this field because of its high computational efficiency.
Tao Xu, Xian Sun, Wenhui Diao, Liangjin Zhao, Kun Fu, Hongqi Wang   +5 more
semanticscholar   +1 more source

Double Head Predictor based Few-Shot Object Detection for Aerial Imagery

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
Many applications based on aerial imagery rely on ac-curate object detection, which requires a high number of annotated training data. However, the number of annotated training data is often limited.
Stefan Wolf, Jonas Meier, L. Sommer, J. Beyerer   +3 more
semanticscholar   +1 more source