Semantic segmentation of high-resolution remote sensing images based on a class feature attention mechanism fused with Deeplabv3+
Z Wang, J Wang, K Yang, L Wang, F Su… - Computers & Geosciences, 2022 - Elsevier
Aiming at solving the problems of inaccurate segmentation of edge targets, inconsistent
segmentation of different types of targets, and slow prediction efficiency on semantic …
segmentation of different types of targets, and slow prediction efficiency on semantic …
Point set morphological filtering and semantic spatial configuration modeling: Application to microscopic image and bio-structure analysis
N Loménie, D Racoceanu - Pattern Recognition, 2012 - Elsevier
High-level spatial relation and configuration modeling issues are gaining momentum in the
image analysis and pattern recognition fields. In particular, it is deemed important whenever …
image analysis and pattern recognition fields. In particular, it is deemed important whenever …
An improved semantic segmentation algorithm for high-resolution remote sensing images based on DeepLabv3+
Y Wang, L Yang, X Liu, P Yan - Scientific Reports, 2024 - nature.com
High-precision and high-efficiency Semantic segmentation of high-resolution remote
sensing images is a challenge. Existing models typically require a significant amount of …
sensing images is a challenge. Existing models typically require a significant amount of …
Reducing false detections in aerial images by exploiting the context information and centroid relationship
Y Yang, B Zang, N Li, B Zhao, B Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Object detection in aerial images is critical for military and civilian applications. Due to its
broad imaging range, an aerial image contains more complex scenes than natural images …
broad imaging range, an aerial image contains more complex scenes than natural images …
Accurate Extraction of Ground Objects from Remote Sensing Image Based on Mark Clustering Point Process
H Zhang, J Liu, J Liu - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
The geometric features of ground objects can reflect the shape, contour, length, width, and
pixel distribution of ground objects and have important applications in the process of object …
pixel distribution of ground objects and have important applications in the process of object …
聚类与几何特征相结合的遥感图像多类人造目标检测算法
王慧利， 朱明 - 2015 - ir.ciomp.ac.cn
摘要针对高分辨率光学遥感图像中人造目标的检测问题, 对传统的相位编组直线段提取算法和k-
means 聚类算法了改进, 提出了一种k-means 聚类和几何特征相结合的检测方法 …
means 聚类算法了改进, 提出了一种k-means 聚类和几何特征相结合的检测方法 …
A communication framework between backbone satellites and ground stations
As the development of integrated space-terrestrial information network technology, the
satellite network technology and the ground network technology cannot match each other …
satellite network technology and the ground network technology cannot match each other …
High Resolution Remote Sensing Image Segmentation Method with Improved DeepLabv3+
H Tao, Z Li, F Qi, J Chen, H Zhou - Journal of Shanghai Jiaotong …, 2024 - Springer
In order to address the challenges associated with poor semantic segmentation results of
classical semantic segmentation networks in high-resolution remote sensing images, limited …
classical semantic segmentation networks in high-resolution remote sensing images, limited …
[PDF][PDF] Land use land cover classification using deep neural network
With remote sensor data, land use and land cover classification offers geographical
information. The land use land cover classification process considers several factors for …
information. The land use land cover classification process considers several factors for …
Sensor and computing resource management for a small satellite
A small satellite in a low-Earth orbit (eg, approximately a 300 to 400 km altitude) has an
orbital velocity in the range of 8.5 km/s and completes an orbit approximately every 90 …
orbital velocity in the range of 8.5 km/s and completes an orbit approximately every 90 …