Satellite image analysis clustering and classification
Surekha Borra, Rohit Thanki, Nilanjan Dey
(Springer Nature, 2019)
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Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error, and allow the rapid and rigorous analysis of land use and land cover information. Integrating Machine Learning (ML) technology with the human visual psychometric can help meet geologists demands for more efficient and higher-quality classification in real time. |
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Penerbitan : | Singapore: Springer Nature, 2019 |
Sumber Pengatalogan: | LibUI eng rda |
Tipe Konten: | text |
Tipe Media: | computer |
Tipe Pembawa: | online resource |
Deskripsi Fisik: | xvi, 97 pages : illustration |
Tautan: | https://doi.org/10.1007/978-981-13-6424-2 |
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No. Panggil | No. Barkod | Ketersediaan |
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02-20-423848642 | TERSEDIA |
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