Towards Cross Domain Transfer Learning for Underwater Correspondence Search

Schöntag, Patricia; Nakath, David; Röhrl, Stefan; Köser, Kevin

doi:10.1007/978-3-031-06433-3_39

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…Here, annotated in-air data shall be augmented with a physically-based water layer, tailored to resemble the Dead Sea water to train neural networks. This hybrid approach jointly employs physical models and neural networks in a structured learning approach to yield faster and more robust results [92] Fieldwork and Geodiversity: Geologic fieldwork, i.e., recognition and mapping of structural features (faults, cracks, depressions) and material distributions, together with the above-described methods to delineate depressions, will serve to create a digital inventory for depressions, dolines, and other karstic features similar to [93]. This continuously updated geosite inventory will be relevant for both hazard assessment and geotouristic exploration, i.e., walkway planning.…”

Section: Datasets and Methods For Field Campaigns And Geotouristic Tr...mentioning

confidence: 99%

A Vision on a UNESCO Global Geopark at the Southeastern Dead Sea in Jordan—How Natural Hazards May Offer Geotourism Opportunities

Al-Halbouni

AlRabayah

Nakath

et al. 2022

Land

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This paper aims to identify and discuss the chances, solutions, and possible drawbacks related to the establishment of safe geotourism sites in subsidence-affected areas, exemplarily applied to the Ghor Al-Haditha sinkhole site at the southeastern shore of the Dead Sea. Such safe areas shall be established in the territory of the proposed future UNESCO Global Geopark (UGGp) in Jordan. The highlights of the geopark and the basis of its creation are the subsidence features and stream channels found along the SE shoreline of the Dead Sea, which form both a natural hazard and geological heritage of high international significance and have attracted many researchers so far. This recent and ongoing formation is related to the sharp regression of the lake, the specific geomechanical conditions, and the hydrogeologic and climatic background of the surroundings. Nearby communities have suffered in economic terms from these natural phenomena, including flash floods and droughts in this semi-arid to arid region. We here present a concept on how to integrate geoscientific research for hazard monitoring and early warning to maintain safety for inhabitants and visitors on the one hand and reach sustainable economic development through the establishment of geotourism sites on the other hand. This highlight area of the proposed UGGp serves as a starting example for delineating safe zones for walkways and infrastructure. This involves two-way knowledge transfer between spatial planning and hydrogeophysical monitoring, a network of community-supported geophysical surveillance, and regular maintenance and adaptation. The cross-cutting benefits for the territory involve the delineation of safe areas for agriculture and geotourism, the increase of sustainable tourism in the region with a shift towards alternative ways of income, more investment in infrastructure, a growth of international visibility of the region, enhanced environmental education with focus on responsible water usage, and involvement in international research and education projects.

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Section: Datasets and Methods For Field Campaigns And Geotouristic Tr...mentioning

confidence: 99%

A Vision on a UNESCO Global Geopark at the Southeastern Dead Sea in Jordan—How Natural Hazards May Offer Geotourism Opportunities

Al-Halbouni

AlRabayah

Nakath

et al. 2022

Land

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“…Different undersea ecosystems have various basic visual degeneration causes. Recently, several strategies to enhance the caliber of underwater photos have been suggested by researchers [8][9][10]. In addition, various research works related to enhancing underwater images are reviewed to deliver the necessary knowledge of the previously developed underwater enhancement algorithms.…”

Section: Introductionmentioning

confidence: 99%

Low Intricacy‎ Multistage Algorithm for Underwater Image Enhancement

Al-Ameen,

Ahmed

2024

protk

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Humanity currently lives in a technological era that witnesses rapid progress in multiple fields. Digital image processing is one of the modern technologies that has provided practical answers to many challenges including image enhancement, analysis, reconstruction, recovery, compression, processing, and understanding. One of these notable challenges relates to underwater photography. Underwater images are always exposed to less-than-ideal conditions due to environmental and physical factors. These include refraction of light in water, scattering of particles and dust in the aquatic medium, lack of illumination in deep water, and poor contrast. These challenges make it extremely difficult to analyze and extract valuable information without advanced processing. In this study, an improved color balance-fusion algorithm is provided by improving the image visuality and modifying some equations to obtain sharper and clearer images. The proposed algorithm begins by finding the white balance of the input RGB color image, after that, it improves the intensity. Next, the edges are improved using Gamma separately. The weights are then found for each image and combined to find naive fusion. The resulting image is processed using a color retrieval algorithm to produce the final image. along with comparisons to eleven other algorithms with various processing methods. Experimental results showed that this algorithm can significantly improve underwater images, increasing image clarity and making colors clearer. The improvement rates reached 5.8389 and 2.6778 for UISM and UICM metrics, respectively.

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“…Distinct undersea habitats have different primary causes of visual deterioration. Recently, numerous approaches to enhance the quality of underwater images have been suggested by researchers [9][10][11]. However, not all were successful in enhancing the underwater images.…”

Section: Introductionmentioning

confidence: 99%

Underwater Image Enhancement: A Review of Modern Utilized Concepts

A. Ahmed,

Al-Ameen

2023

IRJIET

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The revolution in current technology imposes on most systems of daily life in processing a wide range of applications through digital image processing techniques that have produced practical answers to many challenges such as image optimization, analysis, reconstruction, recovery, compression, processing, and so forth. One application of interest in underwater image enhancement has attracted the attention of experts in recent years due to its importance. In this work, a review of modern processing concepts for underwater images is given to get the basic knowledge on what are the used methodologies, what are the processed degradations, and what processing concepts have been used in the past years. Hence, different methods are reviewed and implemented on underwater images to know their advantages and disadvantages. The results of each method are demonstrated, the processing concept is summarized, and a synopsis that includes the main notion, complexity, pros, and cons is given to get a generalized idea about this topic.

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Towards Cross Domain Transfer Learning for Underwater Correspondence Search

Cited by 7 publications

References 18 publications

A Vision on a UNESCO Global Geopark at the Southeastern Dead Sea in Jordan—How Natural Hazards May Offer Geotourism Opportunities

A Vision on a UNESCO Global Geopark at the Southeastern Dead Sea in Jordan—How Natural Hazards May Offer Geotourism Opportunities

Low Intricacy‎ Multistage Algorithm for Underwater Image Enhancement

Underwater Image Enhancement: A Review of Modern Utilized Concepts

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