Investigating ancient agricultural field systems in Sweden from airborne LIDAR data by using convolutional neural network

1. Verfasser: Küçükdemirci, Melda , [VerfasserIn]
Landeschi, Giacomo , [VerfasserIn]
Ohlsson, Mattias , [VerfasserIn]
Ort/Verlag/Jahr: Hoboken (N. J.) : Wiley, 2023.
Umfang/Format: fascicle 2, pages 209-219 : charts, maps, illustrations.
Enthalten in: Archaeological Prospection, 30,2 (2023), 1075-2196
LEADER 01079aab a2200289 i 4500
001 003053156
003 DE-2553
005 20231025095330.0
007 ta
008 230721s2023 xxu||||| |||| 00| 0 eng d
040 |a DE-2553  |b eng  |c DE-2553  |d DE-2553  |e rda 
100 1 |a Küçükdemirci, Melda  |e author 
245 1 0 |a Investigating ancient agricultural field systems in Sweden from airborne LIDAR data by using convolutional neural network 
264 1 |a Hoboken (N. J.) :   |b Wiley,   |c 2023. 
300 |a fascicle 2, pages 209-219 :   |b charts, maps, illustrations. 
336 |2 rdacontent  |a text  |b txt 
337 |2 rdamedia  |a unmediated  |b n 
338 |2 rdacarrier  |a volume  |b nc 
590 |a argk23 
700 1 |a Landeschi, Giacomo  |e author  |9 290813 
700 1 |e author  |a Ohlsson, Mattias 
773 0 |t Archaeological Prospection, 30,2 (2023)  |w 003038847  |x 1075-2196 
942 |2 z  |c AN 
999 |c 3053156  |d 1456911 
953 |b DAIO  |z Automatically added holding branch key. 
953 |b DAIE  |z Automatically added holding branch key. 
953 |b DAIF  |z Automatically added holding branch key.