Cargando…
Improved Mask R-CNN for Aircraft Detection in Remote Sensing Images
In recent years, remote sensing images has become one of the most popular directions in image processing. A small feature gap exists between satellite and natural images. Therefore, deep learning algorithms could be applied to recognize remote sensing images. We propose an improved Mask R-CNN model,...
Autores principales: | Wu, Qifan, Feng, Daqiang, Cao, Changqing, Zeng, Xiaodong, Feng, Zhejun, Wu, Jin, Huang, Ziqiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068277/ https://www.ncbi.nlm.nih.gov/pubmed/33917904 http://dx.doi.org/10.3390/s21082618 |
Ejemplares similares
-
Research on Airplane and Ship Detection of Aerial Remote Sensing Images Based on Convolutional Neural Network
por: Cao, Changqing, et al.
Publicado: (2020) -
An Efficient Building Extraction Method from High Spatial Resolution Remote Sensing Images Based on Improved Mask R-CNN
por: Zhang, Lili, et al.
Publicado: (2020) -
Aircraft Detection for Remote Sensing Image Based on Bidirectional and Dense Feature Fusion
por: Zhou, Liming, et al.
Publicado: (2021) -
Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images
por: Sahin, M. Emin, et al.
Publicado: (2023) -
Multi-Scale DenseNets-Based Aircraft Detection from Remote Sensing Images
por: Wang, Yantian, et al.
Publicado: (2019)