Controllable Generative Knowledge-Driven Few-Shot Object Detection From Optical Remote Sensing Imagery

Tong Zhang; Yin Zhuang; Guanqun Wang; He Chen; Hao Wang; Lianlin Li; Jun Li

doi:10.1109/tgrs.2025.3541937

ScienceGate Book Chapters

JOURNAL ARTICLE

Controllable Generative Knowledge-Driven Few-Shot Object Detection From Optical Remote Sensing Imagery

Tong Zhang Yin Zhuang Guanqun Wang He Chen Hao Wang Lianlin Li Jun Li

Year: 2025 Journal: IEEE Transactions on Geoscience and Remote Sensing Vol: 63 Pages: 1-19 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tgrs.2025.3541937

Get Full-Text PDF Get Analytical Report

Keywords:

Remote sensing Computer science Object detection Shot (pellet) Artificial intelligence Computer vision Object (grammar) Pattern recognition (psychology) Geology

Metrics

Cited By

48.50

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Controllable Generative Knowledge-Driven Few-Shot Object Detection From Optical Remote Sensing Imagery

Metrics

Citation History

Topics

Related Documents

Advancing Controllable Diffusion Model for Few-Shot Object Detection in Optical Remote Sensing Imagery

Prototype Metric Decision for Few-shot Object Detection in Optical Remote Sensing Imagery

Few-shot object detection in optical remote sensing images

Memory-Augmented Detection Transformer for Few-Shot Object Detection in Remote Sensing Imagery

Few-Shot Optical Remote Sensing Object Detection Based on Shape Matching