RDC-UNet++: An end-to-end network for multispectral satellite image enhancement Article Swipe
Shilpa Suresh
,
Ragesh Rajan M
,
C S Asha
,
Fabio Dell’Acqua
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.rsase.2024.101293
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.rsase.2024.101293
Multi-spectral satellite imagery is an ideal data source for comprehensive, real-time Earth observation (EO) due to its extensive coverage of Earth and regular updates. It has a wide range of applications in environment monitoring, disaster management, urban planning, weather forecasting etc. Yet, the visual aspect of these images and thus the possibility to extract useful information using image processing techniques is often degraded due to fog, rain, dust, cloud, etc. Satellite image enhancement denotes a set of techniques designed to improve the quality of a satellite image such that the result is more useful for image analysis. The image enhancement aims to improve the quality of an image such that the enhanced image is more useful for image analysis than the original image for a particular remote sensing application. This study introduces a multi-spectral satellite image enhancement architecture called Residual Dense Connection-based UNet++ (RDC-UNet++). The unique design can improve multi-spectral images by enhancing their color and texture details. Extensive experimental studies on multi-spectral image datasets containing more than 150 images prove that the proposed architecture performs better than recent state-of-the-art satellite image enhancement algorithms.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.rsase.2024.101293
- OA Status
- hybrid
- Cited By
- 6
- References
- 66
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400452227Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.rsase.2024.101293Digital Object Identifier
- Title
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RDC-UNet++: An end-to-end network for multispectral satellite image enhancementWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-07-09Full publication date if available
- Authors
-
Shilpa Suresh, Ragesh Rajan M, C S Asha, Fabio Dell’AcquaList of authors in order
- Landing page
-
https://doi.org/10.1016/j.rsase.2024.101293Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.rsase.2024.101293Direct OA link when available
- Concepts
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Multispectral image, Computer science, Remote sensing, Satellite, Image (mathematics), Computer vision, Panchromatic film, Artificial intelligence, Spectral bands, Image processing, Image quality, Geography, Engineering, Aerospace engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6Per-year citation counts (last 5 years)
- References (count)
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66Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2125732958, https://openalex.org/W6653661246, https://openalex.org/W2947137735, https://openalex.org/W6783879992, https://openalex.org/W2963919656, https://openalex.org/W6772476475, https://openalex.org/W2078816540, https://openalex.org/W2145744030, https://openalex.org/W6679742574, https://openalex.org/W3110723806, https://openalex.org/W6666881064, https://openalex.org/W3008225306, https://openalex.org/W3201546784, https://openalex.org/W1938336627, https://openalex.org/W2119999314, https://openalex.org/W6647720530, https://openalex.org/W2577905684, https://openalex.org/W2016622085, https://openalex.org/W2963446712, https://openalex.org/W6655132905, https://openalex.org/W2014057517, https://openalex.org/W2110244969, https://openalex.org/W1972394940, https://openalex.org/W2024801925, https://openalex.org/W4388443637, https://openalex.org/W2509803264, https://openalex.org/W6668961415, https://openalex.org/W2937763986, https://openalex.org/W2743126208, https://openalex.org/W2971256950, https://openalex.org/W6839272386, https://openalex.org/W4387757711, https://openalex.org/W6752777038, https://openalex.org/W2561172491, https://openalex.org/W2036798369, https://openalex.org/W2888548191, https://openalex.org/W6787724178, https://openalex.org/W6996172684, https://openalex.org/W2750002240, https://openalex.org/W4327983978, https://openalex.org/W6797701676, https://openalex.org/W2133665775, https://openalex.org/W3170286342, https://openalex.org/W2891158090, https://openalex.org/W6646914109, https://openalex.org/W6664322358, https://openalex.org/W2947240701, https://openalex.org/W2297093577, https://openalex.org/W2740144340, https://openalex.org/W2964101377, https://openalex.org/W6753182481, https://openalex.org/W2996290406, https://openalex.org/W3088121412, https://openalex.org/W2617111643, https://openalex.org/W2810128213, https://openalex.org/W2938539052, https://openalex.org/W1522301498, https://openalex.org/W4238962977, https://openalex.org/W2073623229, https://openalex.org/W1990592195, https://openalex.org/W4302068785, https://openalex.org/W4240473763, https://openalex.org/W4285173877, https://openalex.org/W3152218910, https://openalex.org/W4247615394, https://openalex.org/W2884436604 |
| referenced_works_count | 66 |
| abstract_inverted_index.a | 26, 74, 84, 124, 132 |
| abstract_inverted_index.It | 24 |
| abstract_inverted_index.an | 4, 106 |
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| abstract_inverted_index.The | 97, 144 |
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| abstract_inverted_index.its | 16 |
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| abstract_inverted_index.This | 129 |
| abstract_inverted_index.Yet, | 41 |
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| abstract_inverted_index.fog, | 65 |
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| abstract_inverted_index.such | 87, 108 |
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| abstract_inverted_index.wide | 27 |
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| abstract_inverted_index.dust, | 67 |
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| abstract_inverted_index.rain, | 66 |
| abstract_inverted_index.range | 28 |
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| abstract_inverted_index.their | 153 |
| abstract_inverted_index.these | 46 |
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| abstract_inverted_index.using | 56 |
| abstract_inverted_index.UNet++ | 142 |
| abstract_inverted_index.aspect | 44 |
| abstract_inverted_index.better | 176 |
| abstract_inverted_index.called | 138 |
| abstract_inverted_index.cloud, | 68 |
| abstract_inverted_index.design | 146 |
| abstract_inverted_index.images | 47, 150, 169 |
| abstract_inverted_index.recent | 178 |
| abstract_inverted_index.remote | 126 |
| abstract_inverted_index.result | 90 |
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| abstract_inverted_index.useful | 54, 93, 115 |
| abstract_inverted_index.visual | 43 |
| abstract_inverted_index.denotes | 73 |
| abstract_inverted_index.extract | 53 |
| abstract_inverted_index.imagery | 2 |
| abstract_inverted_index.improve | 80, 102, 148 |
| abstract_inverted_index.quality | 82, 104 |
| abstract_inverted_index.regular | 22 |
| abstract_inverted_index.sensing | 127 |
| abstract_inverted_index.studies | 160 |
| abstract_inverted_index.texture | 156 |
| abstract_inverted_index.weather | 38 |
| abstract_inverted_index.Residual | 139 |
| abstract_inverted_index.analysis | 118 |
| abstract_inverted_index.coverage | 18 |
| abstract_inverted_index.datasets | 164 |
| abstract_inverted_index.degraded | 62 |
| abstract_inverted_index.designed | 78 |
| abstract_inverted_index.details. | 157 |
| abstract_inverted_index.disaster | 34 |
| abstract_inverted_index.enhanced | 111 |
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| abstract_inverted_index.performs | 175 |
| abstract_inverted_index.proposed | 173 |
| abstract_inverted_index.updates. | 23 |
| abstract_inverted_index.Extensive | 158 |
| abstract_inverted_index.Satellite | 70 |
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| abstract_inverted_index.enhancing | 152 |
| abstract_inverted_index.extensive | 17 |
| abstract_inverted_index.planning, | 37 |
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| abstract_inverted_index.algorithms. | 183 |
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| abstract_inverted_index.forecasting | 39 |
| abstract_inverted_index.information | 55 |
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| abstract_inverted_index.(RDC-UNet++). | 143 |
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| corresponding_author_ids | https://openalex.org/A5047899011 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I164861460 |
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