| 000 | 01906naaaa2200313uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/67749 | ||
| 005 | 20220220041753.0 | ||
| 020 | _aintechopen.84925 | ||
| 020 | _a9781838805050 | ||
| 020 | _a9781838805043 | ||
| 020 | _a9781839691294 | ||
| 024 | 7 |
_a10.5772/intechopen.84925 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aRG _2bicssc |
|
| 100 | 1 |
_aRustamov, Rustam B. _4edt |
|
| 700 | 1 |
_aRustamov, Rustam B. _4oth |
|
| 245 | 1 | 0 | _aGeographic Information Systems in Geospatial Intelligence |
| 260 |
_bIntechOpen _c2020 |
||
| 300 | _a1 electronic resource (186 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aEarth observation systems, by use of space science and technology advances, present a large-scale opportunity for applying remote sensing methods with geographical information system (GIS) developments. Integrating these two methods makes it possible to achieve high-accuracy satellite data processing. This book considers aspects of GIS technology applications with space science technology and innovation approaches. It examines the potential of Earth observation satellite systems as well as existing challenges and problems in the field. Chapters cover topics such as RGB-D sensors for autonomous pothole detection, machine learning in GIS, interferometric synthetic aperture radar (InSAR) modeling, and others. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc _4https://creativecommons.org/licenses/by/3.0/ |
||
| 546 | _aEnglish | ||
| 650 | 7 |
_aGeography _2bicssc |
|
| 653 | _aGeography | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mts.intechopen.com/storage/books/9381/authors_book/authors_book.pdf _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/67749 _70 _zDOAB: description of the publication |
| 999 |
_c64624 _d64624 |
||