Results 91 to 100 of about 558,332 (197)

Zero‐shot shark tracking and biometrics from aerial imagery

Methods in Ecology and Evolution
The recent widespread adoption of drones for studying marine animals provides opportunities for deriving biological information from aerial imagery. The large scale of imagery data acquired from drones is well suited for machine learning (ML) analysis ...
Chinmay K. Lalgudi, Mark E. Leone, Jaden V. Clark, Sergio Madrigal‐Mora, Mario Espinoza   +4 more
doaj   +1 more source

MMPW-Net: Detection of Tiny Objects in Aerial Imagery Using Mixed Minimum Point-Wasserstein Distance

Remote Sensing
The detection of distant tiny objects in aerial imagery plays a pivotal role in early warning, localization, and recognition tasks. However, due to the scarcity of appearance information, minimal pixel representation, susceptibility to blending with the ...
Nan Su, Zilong Zhao, Yiming Yan, Jinpeng Wang, Wanxuan Lu, Hongbo Cui, Yunfei Qu, Shou Feng, Chunhui Zhao   +8 more
doaj   +1 more source

Automated Scene Understanding from Aerial Imagery [PDF]

, 2018
This thesis examines the development of vision-based aerial image understanding systems. The proposed systems investigate different abstraction levels of visual features in aerial image processing tasks and adopts UAV forced landing site detection as the main application to examine the feasibility and robustness of the proposed systems.
openaire   +2 more sources

Enhancing Urban Understanding Through Fine-Grained Segmentation of Very-High-Resolution Aerial Imagery

Remote Sensing
Despite the growing availability of very-high-resolution (VHR) remote sensing imagery, extracting fine-grained urban features and materials remains a complex task.
Umamaheswaran Raman Kumar, Toon Goedemé, Patrick Vandewalle   +2 more
doaj   +1 more source

ConvNeXt with Context-Weighted Deep Superpixels for High-Spatial-Resolution Aerial Image Semantic Segmentation

AI
Semantic segmentation of high-spatial-resolution (HSR) aerial imagery is critical for applications such as urban planning and environmental monitoring, yet challenges, including scale variation, intra-class diversity, and inter-class confusion, persist ...
Ziran Ye, Yue Lin, Muye Gan, Xiangfeng Tan, Mengdi Dai, Dedong Kong   +5 more
doaj   +1 more source

YOLOD: A Target Detection Method for UAV Aerial Imagery

Remote Sensing, 2022
Xudong Luo, Yiquan Wu, Langyue Zhao
semanticscholar   +1 more source

AERIAL TRIANGULATION OF DIGITAL AERIAL IMAGERY USING HYBRID FEATURES

This paper presents a modification to the standard point-based collinearity equations of photogrammetry, traditionally used in block adjustment for mosaicking overlapping aerial images. The study incorporates linear features and evaluates the modified equations on six overlapping digital aerial images from DiMac sensor.
Ramzi, Pouria, Samadzadegan, Farhad, Schenk, Anton   +2 more
openaire   +2 more sources

SenseLite: A YOLO-Based Lightweight Model for Small Object Detection in Aerial Imagery. [PDF]

Sensors (Basel), 2023
Han T, Dong Q, Sun L.
europepmc   +1 more source

Improved YOLOv8 algorithms for small object detection in aerial imagery

Journal of King Saud University: Computer and Information Sciences
Fei Feng, Yu Hu, Weipeng Li, Feiyan Yang
semanticscholar   +1 more source

Small Target-YOLOv5: Enhancing the Algorithm for Small Object Detection in Drone Aerial Imagery Based on YOLOv5. [PDF]

Sensors (Basel), 2023
Zhou J, Su T, Li K, Dai J.
europepmc   +1 more source