The Use of Saliency in Underwater Computer Vision: A Review
Underwater survey and inspection are tasks of paramount relevance for a variety of applications. They are usually performed through the employment of optical and acoustic sensors installed aboard underwater vehicles, in order to capture details of the surrounding environment. The informative propert...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-12-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/1/22 |
| _version_ | 1797543796872839168 |
|---|---|
| author | Marco Reggiannini Davide Moroni |
| author_facet | Marco Reggiannini Davide Moroni |
| author_sort | Marco Reggiannini |
| collection | DOAJ |
| description | Underwater survey and inspection are tasks of paramount relevance for a variety of applications. They are usually performed through the employment of optical and acoustic sensors installed aboard underwater vehicles, in order to capture details of the surrounding environment. The informative properties of the data are systematically affected by a number of disturbing factors, such as the signal energy absorbed by the propagation medium or diverse noise categories contaminating the resulting imagery. Restoring the signal properties in order to exploit the carried information is typically a tough challenge. Visual saliency refers to the computational modeling of the preliminary perceptual stages of human vision, where the presence of conspicuous targets within a surveyed scene activates neurons of the visual cortex, specifically sensitive to meaningful visual variations. In relatively recent years, visual saliency has been exploited in the field of automated underwater exploration. This work provides a comprehensive overview of the computational methods implemented and applied in underwater computer vision tasks, based on the extraction of visual saliency-related features. |
| first_indexed | 2024-03-10T13:50:41Z |
| format | Article |
| id | doaj.art-c3f59cad23c24327a153aa09a6d89c00 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T13:50:41Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-c3f59cad23c24327a153aa09a6d89c002023-11-21T02:10:06ZengMDPI AGRemote Sensing2072-42922020-12-011312210.3390/rs13010022The Use of Saliency in Underwater Computer Vision: A ReviewMarco Reggiannini0Davide Moroni1Istituto di Scienza e Tecnologie dell’Informazione “Alessandro Faedo”, Consiglio Nazionale delle Ricerche, 56124 Pisa, ItalyIstituto di Scienza e Tecnologie dell’Informazione “Alessandro Faedo”, Consiglio Nazionale delle Ricerche, 56124 Pisa, ItalyUnderwater survey and inspection are tasks of paramount relevance for a variety of applications. They are usually performed through the employment of optical and acoustic sensors installed aboard underwater vehicles, in order to capture details of the surrounding environment. The informative properties of the data are systematically affected by a number of disturbing factors, such as the signal energy absorbed by the propagation medium or diverse noise categories contaminating the resulting imagery. Restoring the signal properties in order to exploit the carried information is typically a tough challenge. Visual saliency refers to the computational modeling of the preliminary perceptual stages of human vision, where the presence of conspicuous targets within a surveyed scene activates neurons of the visual cortex, specifically sensitive to meaningful visual variations. In relatively recent years, visual saliency has been exploited in the field of automated underwater exploration. This work provides a comprehensive overview of the computational methods implemented and applied in underwater computer vision tasks, based on the extraction of visual saliency-related features.https://www.mdpi.com/2072-4292/13/1/22visual saliencyunderwater computer visionunderwater image understandingmulti-sensor survey |
| spellingShingle | Marco Reggiannini Davide Moroni The Use of Saliency in Underwater Computer Vision: A Review Remote Sensing visual saliency underwater computer vision underwater image understanding multi-sensor survey |
| title | The Use of Saliency in Underwater Computer Vision: A Review |
| title_full | The Use of Saliency in Underwater Computer Vision: A Review |
| title_fullStr | The Use of Saliency in Underwater Computer Vision: A Review |
| title_full_unstemmed | The Use of Saliency in Underwater Computer Vision: A Review |
| title_short | The Use of Saliency in Underwater Computer Vision: A Review |
| title_sort | use of saliency in underwater computer vision a review |
| topic | visual saliency underwater computer vision underwater image understanding multi-sensor survey |
| url | https://www.mdpi.com/2072-4292/13/1/22 |
| work_keys_str_mv | AT marcoreggiannini theuseofsaliencyinunderwatercomputervisionareview AT davidemoroni theuseofsaliencyinunderwatercomputervisionareview AT marcoreggiannini useofsaliencyinunderwatercomputervisionareview AT davidemoroni useofsaliencyinunderwatercomputervisionareview |