A Simplified Un-Supervised Learning Based Approach for Ink Mismatch Detection in Handwritten Hyper-Spectral Document Images

Autor: Humayun, Muhammad Farhan, Malik, Hassan Waseem, Alvi, Ahmed Ahsan

Hyper-spectral imaging has become the latest trend in the field of optical imaging systems. Among various other applications, hyper-spectral imaging has been widely used for analysis of printed and handwritten documents. This paper proposes an effici

Externí odkaz: http://arxiv.org/abs/2206.05539

iVision-MRSSD: A Comprehensive Multi-Resolution SAR Ship Detection Dataset for State of the Art Satellite based Maritime Surveillance Applications

Autor: Humayun, Muhammad Farhan, Bhatti, Farrukh Aziz, Khurshid, Khurram

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::82a70fd7a049309f082ea3058fb603ed

iVision MRSSD: A comprehensive multi-resolution SAR ship detection dataset for state of the art satellite based maritime surveillance applications.

Autor: Humayun MF; iVision Lab, Department of Electrical Engineering, Institute of Space Technology, Islamabad, Pakistan., Bhatti FA; iVision Lab, Department of Electrical Engineering, Institute of Space Technology, Islamabad, Pakistan., Khurshid K; iVision Lab, Department of Electrical Engineering, Institute of Space Technology, Islamabad, Pakistan.

Publikováno v: Data in brief [Data Brief] 2023 Aug 21; Vol. 50, pp. 109505. Date of Electronic Publication: 2023 Aug 21 (Print Publication: 2023).