Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
The aim of the Special Issue “Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences” was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields. This intention reflects the technical developments in the last three d...
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| Định dạng: | Online |
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| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20220111_9783036508788_39 |
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| _version_ | 1869530721579696128 |
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| collection | Directory of Open Access Books |
| description | The aim of the Special Issue “Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences” was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields. This intention reflects the technical developments in the last three decades, which have brought the capacity of HSI to provide spectrally, spatially and temporally detailed data, favoured by e.g., hyperspectral snapshot technologies, miniaturized hyperspectral sensors and hyperspectral microscopy imaging. The present book comprises a suite of papers in various fields of environmental sciences—geology/mineral exploration, digital soil mapping, mapping and characterization of vegetation, and sensing of water bodies (including under-ice and underwater applications). In addition, there are two rather methodically/technically-oriented contributions dealing with the optimized processing of UAV data and on the design and test of a multi-channel optical receiver for ground-based applications. All in all, this compilation documents that HSI is a multi-faceted research topic and will remain so in the future. |
| format | Online |
| id | doab-20.500.12854ir-76303 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-763032024-03-28T03:32:45Z Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences Vohland, Michael Jung, András hyperspectral topographic correction atmospheric correction radiometric correction long-range long-distance Structure from Motion (SfM) photogrammetry mineral mapping minimum wavelength mapping Maarmorilik Riotinto Hyperspectral image bio-optical algorithm phycocyanin chlorophyll-a mangrove species classification close-range hyperspectral imaging field hyperspectral measurement waveband selection machine learning instrument development spectroradiometry telescope receiver soil soil salinity unmanned aerial vehicle hyperspectral imager random forest regression electromagnetic induction hyperspectral imaging tree species multiple classifier fusion convolutional neural network random forest rotation forest sea ice ice algae biomass fine-scale under-ice underwater antarctica structure from motion georectification mosaicking push-broom UAV chlorophyll a colored dissolved organic matter in situ measurements vertical distribution water column snapshot hyperspectral imaging n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general The aim of the Special Issue “Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences” was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields. This intention reflects the technical developments in the last three decades, which have brought the capacity of HSI to provide spectrally, spatially and temporally detailed data, favoured by e.g., hyperspectral snapshot technologies, miniaturized hyperspectral sensors and hyperspectral microscopy imaging. The present book comprises a suite of papers in various fields of environmental sciences—geology/mineral exploration, digital soil mapping, mapping and characterization of vegetation, and sensing of water bodies (including under-ice and underwater applications). In addition, there are two rather methodically/technically-oriented contributions dealing with the optimized processing of UAV data and on the design and test of a multi-channel optical receiver for ground-based applications. All in all, this compilation documents that HSI is a multi-faceted research topic and will remain so in the future. 2022-01-11T13:28:06Z 2022-01-11T13:28:06Z 2021 book ONIX_20220111_9783036508788_39 9783036508788 9783036508795 https://directory.doabooks.org/handle/20.500.12854/76303 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/3720 https://mdpi.com/books/pdfview/book/3720 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0879-5 10.3390/books978-3-0365-0879-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036508788 9783036508795 218 Basel, Switzerland open access |
| spellingShingle | hyperspectral topographic correction atmospheric correction radiometric correction long-range long-distance Structure from Motion (SfM) photogrammetry mineral mapping minimum wavelength mapping Maarmorilik Riotinto Hyperspectral image bio-optical algorithm phycocyanin chlorophyll-a mangrove species classification close-range hyperspectral imaging field hyperspectral measurement waveband selection machine learning instrument development spectroradiometry telescope receiver soil soil salinity unmanned aerial vehicle hyperspectral imager random forest regression electromagnetic induction hyperspectral imaging tree species multiple classifier fusion convolutional neural network random forest rotation forest sea ice ice algae biomass fine-scale under-ice underwater antarctica structure from motion georectification mosaicking push-broom UAV chlorophyll a colored dissolved organic matter in situ measurements vertical distribution water column snapshot hyperspectral imaging n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences |
| title | Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences |
| title_full | Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences |
| title_fullStr | Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences |
| title_full_unstemmed | Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences |
| title_short | Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences |
| title_sort | hyperspectral imaging for fine to medium scale applications in environmental sciences |
| topic | hyperspectral topographic correction atmospheric correction radiometric correction long-range long-distance Structure from Motion (SfM) photogrammetry mineral mapping minimum wavelength mapping Maarmorilik Riotinto Hyperspectral image bio-optical algorithm phycocyanin chlorophyll-a mangrove species classification close-range hyperspectral imaging field hyperspectral measurement waveband selection machine learning instrument development spectroradiometry telescope receiver soil soil salinity unmanned aerial vehicle hyperspectral imager random forest regression electromagnetic induction hyperspectral imaging tree species multiple classifier fusion convolutional neural network random forest rotation forest sea ice ice algae biomass fine-scale under-ice underwater antarctica structure from motion georectification mosaicking push-broom UAV chlorophyll a colored dissolved organic matter in situ measurements vertical distribution water column snapshot hyperspectral imaging n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | hyperspectral topographic correction atmospheric correction radiometric correction long-range long-distance Structure from Motion (SfM) photogrammetry mineral mapping minimum wavelength mapping Maarmorilik Riotinto Hyperspectral image bio-optical algorithm phycocyanin chlorophyll-a mangrove species classification close-range hyperspectral imaging field hyperspectral measurement waveband selection machine learning instrument development spectroradiometry telescope receiver soil soil salinity unmanned aerial vehicle hyperspectral imager random forest regression electromagnetic induction hyperspectral imaging tree species multiple classifier fusion convolutional neural network random forest rotation forest sea ice ice algae biomass fine-scale under-ice underwater antarctica structure from motion georectification mosaicking push-broom UAV chlorophyll a colored dissolved organic matter in situ measurements vertical distribution water column snapshot hyperspectral imaging n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20220111_9783036508788_39 |