Theiler. Ship Detection in Satellite Imagery Using Rank-Order Grayscale Hit-or-Miss Transforms. SPIE, vol. 7701, 2010.Neal R. Harvey, Reid Porter, and James Theiler, “Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms,” Proc. SPIE, Vol. 7701, 2010....
These create lines of larger reflectance in cloud fields that are observed in satellite imagery. Ship tracks are most frequently seen off the west coast of California, and the Atlantic coast of both west Africa and south-western Europe. In order to automate their detection within the Along ...
Satellite imagery datasets containing ships. A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks. 📡 Radar Satellite Datasets A) Table with available datasets: B) Information about the datasets: 1. SSDD (SAR Ship De...
akhilchibber/Ship-Detection Star0 Deep Learning based Ship Detection in Satellite Imagery deep-learningship-detectionship-detection-dataset UpdatedAug 21, 2024 Jupyter Notebook Sup3Legacy/TIPE Star0 TIPE MPSI/MP* 2018-2020 image-processingdatasetartificial-neural-networksimage-generationdiamond-square-algor...
This study revolves around an implementation of an automated ship detection software application by building a high-level algorithm that embeds deep learning networks. The algorithm is built in a way that can predict and classify vessels from high-resolution satellite images with 98.5% accuracy. 展开...
Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms Proceedings of SPIE 7701, visual information processing XIX, SPIE defense, security, and sensing; 2010 Apr 15; Orlando, USA, SPIE, Bellingham (2010) Google Scholar 15 L. Ma, J. Guo, Y. Wang, et al. Sh...
A benchmark dataset for deep learning-based airplane detection: HRPlanes A irplane detection from satellite imagery is a challenging task due to the complex backgrounds in the images and differences in data acquisition condition... T Bakirman,E Sertel - 《International Journal of Engineering & Geo...
Multiscale algorithm for ship detection in mid, high and very high resolution optical imagery F.K.Biet al. A visual search inspired computational model for ship detection in optical satellite images IEEE Geosci. Remote Sens. Lett. (2012) ...
Ship detection from thermal remote sensing imagery is a challenging task because of cluttered scenes and variable appearances of ships. In this letter, we propose a novel detection algorithm named region-based deep forest (RDF) toward overcoming these existing issues. The RDF consists of a simple ...
Satellite imagery gives another perspective on the developing situation in Egypt's Suez Canal, where a mega container ship was turned sideways and became stuck.