4 research outputs found
State of the Art of Radar Images Recognition of Surface Ships by Means of Space Monitoring
ΠΠΎΡΡΡΠΏΠΈΠ»Π°: 01.02.2024. ΠΡΠΈΠ½ΡΡΠ° Π² ΠΏΠ΅ΡΠ°ΡΡ: 01.03.2024.Received: 01.02.2024. Accepted: 01.03.2024.ΠΡΠΎΠ±Π»Π΅ΠΌΠ° ΡΠΈΠ½ΡΠ΅Π·Π° ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
ΡΠ΅Π»Π΅ΠΉ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π°, Π±ΡΠ»Π° ΠΈ ΠΎΡΡΠ°Π΅ΡΡΡ ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π·Π½Π°ΡΠΈΠΌΡΡ
ΠΊΠ°ΠΊ Ρ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΠ°ΠΊ ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ·ΠΈΡΠΈΠΉ Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΌΠΎΡΠ΅ΠΏΠ»Π°Π²Π°Π½ΠΈΡ, ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ Π·Π° Π½Π΅Π·Π°ΠΊΠΎΠ½Π½ΠΎΠΉ Π΄ΠΎΠ±ΡΡΠ΅ΠΉ ΡΡΠ±Ρ, ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΈ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΊΡΠΈΠ·ΠΈΡΠ½ΡΠΌΠΈ ΡΠΈΡΡΠ°ΡΠΈΡΠΌΠΈ, ΡΠ°ΠΊΠΈΠΌΠΈ ΠΊΠ°ΠΊ Π΅ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ Π±Π΅Π΄ΡΡΠ²ΠΈΡ, ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΠΏΠΎΡΠΎΠΊΠΈ ΠΈ Π΄ΡΡΠ³ΠΈΠ΅. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΡ
ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ Π½Π°Π·Π²Π°Π½Π½ΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠ°ΡΠΏΠΎΠ·Π½Π°Π²Π°Π½ΠΈΠ΅ Π½Π°Π΄Π²ΠΎΠ΄Π½ΡΡ
ΠΊΠΎΡΠ°Π±Π»Π΅ΠΉ, ΠΊΠΎΡΠΎΡΠΎΠΌΡ ΠΈ ΠΏΠΎΡΠ²ΡΡΠ΅Π½ Π΄Π°Π½Π½ΡΠΉ ΠΎΠ±Π·ΠΎΡ, Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π½ΡΠΉ ΠΏΠΎ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠΌ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ°ΠΌ. Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΡΠΉ ΠΎΠ±Π·ΠΎΡ, ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈΠΉ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΠ΅ΡΠ΅Π½ΠΈΡ Π½Π°Π·Π²Π°Π½Π½ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ, ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΡ
ΡΠΈΡΠΎΠΊΠΈΠΌ ΠΊΡΡΠ³ΠΎΠΌ Π°Π²ΡΠΎΡΠΎΠ² Π² ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π΄Π΅ΡΡΡΠΈΠ»Π΅ΡΠΈΡ, Π±ΡΠ΄Π΅Ρ ΠΏΠΎΠ»Π΅Π·Π΅Π½ ΡΠΎΠ·Π΄Π°ΡΠ΅Π»ΡΠΌ ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠΌ ΡΡΠ΅Π΄ΡΡΠ² ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ Π·Π° ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ΠΌ ΠΌΠΎΡΡΠΊΠΎΠΉ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠΈ.The issue of synthesizing and analyzing algorithms of processing radar images of spatially distributed targets, obtained through space monitoring tools, remains one of the most significant both theoretically and practically. This is particularly crucial for ensuring maritime safety, monitoring illegal fishing activities, and managing crisis situations such as natural disasters and migration flows. One of the most common applications of this problem is the recognition of surface ships, to which this review is devoted. The review is performed using foreign materials. Thus, the proposed review, which includes a detailed analysis of contemporary methods addressing the mentioned challenges, proposed by a wide range of authors over the past decades, will be valuable for developers and researchers in the field of space observation of marine surface conditions
Ship detection in SAR images based on Maxtree representation and graph signal processing
Β© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.This paper discusses an image processing architecture and tools to address the problem of ship detection in synthetic-aperture radar images. The detection strategy relies on a tree-based representation of images, here a Maxtree, and graph signal processing tools. Radiometric as well as geometric attributes are evaluated and associated with the Maxtree nodes. They form graph attribute signals which are processed with graph filters. The goal of this filtering step is to exploit the correlation existing between attribute values on neighboring tree nodes. Considering that trees are specific graphs where the connectivity toward ancestors and descendants may have a different meaning, we analyze several linear, nonlinear, and morphological filtering strategies. Beside graph filters, two new filtering notions emerge from this analysis: tree and branch filters. Finally, we discuss a ship detection architecture that involves graph signal filters and machine learning tools. This architecture demonstrates the interest of applying graph signal processing tools on the tree-based representation of images and of going beyond classical graph filters. The resulting approach significantly outperforms state-of-the-art algorithms. Finally, a MATLAB toolbox allowing users to experiment with the tools discussed in this paper on Maxtree or Mintree has been created and made public.Peer ReviewedPostprint (author's final draft