
| Judul | Artificial Intelligence Remote Sensing for Earth Observation / Edited by Haokui Zhang; Jie Feng; Xizhe Xue; Chen Ding |
| Pengarang | Zhang, Haokui Feng, Jie Xue, Xizhe Ding, Chen |
| Penerbitan | Basel : MDPI AG, 2026 |
| Deskripsi Fisik | 320 p. :ill. |
| ISBN | 978-3-7258-7017-2 |
| Subjek | REMOTE SENSING |
| Catatan | Remote sensing imaging captures electromagnetic radiation across various wavelengths, producing multimodal images with rich information. Consequently, remote sensing images have a wide range of applications in Earth observation, including environmental monitoring, agriculture, urban planning, and geological exploration. The development of artificial intelligence (AI) presents both opportunities and challenges for remote sensing-based Earth observations. Over the past decade, researchers have observed significant advancements in remote sensing image processing techniques driven by deep learning. |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://www.mdpi.com/books/reprint/12492-artificial-intelligence-remote-sensing-for-earth-observation |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 259126192 | 621.367 8 Art | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
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| 020 | # | # | $a 978-3-7258-7017-2 |
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| 245 | # | # | $a Artificial Intelligence Remote Sensing for Earth Observation /$c Edited by Haokui Zhang; Jie Feng; Xizhe Xue; Chen Ding |
| 260 | # | # | $a Basel :$b MDPI AG,$c 2026 |
| 300 | # | # | $a 320 p. : $b ill. |
| 505 | # | # | $a Remote sensing imaging captures electromagnetic radiation across various wavelengths, producing multimodal images with rich information. Consequently, remote sensing images have a wide range of applications in Earth observation, including environmental monitoring, agriculture, urban planning, and geological exploration. The development of artificial intelligence (AI) presents both opportunities and challenges for remote sensing-based Earth observations. Over the past decade, researchers have observed significant advancements in remote sensing image processing techniques driven by deep learning. |
| 650 | # | # | $a REMOTE SENSING |
| 700 | 1 | # | $a Ding, Chen |
| 700 | 1 | # | $a Feng, Jie |
| 700 | 1 | # | $a Xue, Xizhe |
| 700 | 1 | # | $a Zhang, Haokui |
| 856 | # | # | $a https://www.mdpi.com/books/reprint/12492-artificial-intelligence-remote-sensing-for-earth-observation |
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| 990 | # | # | $a 259126192 |
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