Boulder detection | 
References 
Augustin, Jean-Marie; Raymond Le Suave et al. (1996): 
Zontribution of the multibeam acoustic imagery to 
the exploration of the sea-bottom. Marine Geophysical 
Zesearches, DO! 10.1007/BF00286090 
3eisiegel, Kolja; Franz Tauber et al. (2019): The potential 
sxceptional role of a small Baltic boulder reef as a solitary 
nabitat in a sea of mud. Aquatic Conservation: Marine and 
-reshwater Ecosystems, DO: 101002/a9C.2994 
sochkoavskiy, Alexey; Chien-Yao Wang, Hong-Yuan Mark Liao 
(2020): YOLOv4: Optimal Speed and Accuracy of Object 
Detection. arXiv: 2004.10934 
„aress, David W.; Dale N. Chayes (1996): Improved processing 
of Hydrosweep DS multibeam data on the R/V Maurice 
zwing. Marine Geophysical Researches, DO: 10.1007/ 
3F00313878 
jehling, Thomas; Wilfried Ellmer (2012): Zwanzig Jahre 
Seevermessung seit der Wiedervereinigung. AVN Vol. 119, 
Nr. 7, 5. 243-248 
eldens, Peter, Alexander Darr et al. (2019): Detection of 
3o0ulders in Side Scan Sonar Mosaics by a Neural Network 
Geosciences, DO: 10.3390/geoscienCes9040159 
DAL OGR contributors (2021): GDAL/OGR Geospatial Data 
Abstraction software Library. Open Source Geospatial 
-oundation 
ihamisi, Pedram; Javier Plaza et al. (2017): Advanced Spectral 
Zlassifiers for Hyperspectral Images: A review. IEEE 
Geoscience and Remote Sensing Magazine, DO: 10.1109/ 
MGRS.2016.2616418 
3U0, Yulan; Hanyun Wang et al. (2020): Deep learning 
“or 3d point clouds: A survey. IEEE Transactions on 
Yattern Analysis and Machine Intelligence, DO!: 1011097 
”AMI.2020.3005434 
einicke, Kathrin; Tim Bildstein; Dieter Boedecker (in press): 
_eitfaden zur großflächigen Abgrenzung und Kartierung 
des LRT 1170 »Riffe« in der deutschen Ostsee (Untertyp: 
geogene Riffe) 
Held, Philipp; Jens Schneider von Deimling (2019): New 
7eature Classes for Acoustic Habitat Mapping - A 
Multibeam Echosounder Point Cloud Analysis for Mapping 
Submerged Aquatic Vegetation (SAV). Geosciences, 
DO: 10.3390/geosciences9050235 
Zunde, Tina; Philipp Held et al. (2018): Ammunition detection 
Jsing high frequency multibeam snippet backscatter 
nformation. Marine Pollution Bulletin, DO: 10.1016/j 
marpoalbul.2018.05.063 
AA 
119 — 06/2021 
1marche, Geoffray; Xavier Lurton (2018): Recommendation‘ 
or improved and coherent acquisition and processing o* 
‘backscatter data from seafloor-mapping sonars. Marine 
eophysical Research, DO: 10.1007/811001-017-9315-6 
ary, David J.; Amir H. Alavi et al. (2016): Machine learning in 
geosciences and remote sensing. Geoscience Frontiers. 
DO: 10.1016/j.g$f.2015.07.003 
n, Tsung-Yi; Priya Goyal et al. (2017): Focal Loss for Dense 
Object Detection. arxiv: 1708.02002 
_urton, Xavier (2002): An introduction to underwater 
acoustics: principles and applications. Springer Science & 
3usiness Media 
’apenmeier, Svenja; Alexander Darr et al. (2020): 
'Aydroacoustic Mapping of Geogenic Hard Substrates: 
Challenges and Review of German Approaches. 
Geosciences, DO!: 10.3390/ge0scieNCes10030100 
Jickrill, Richard A.; Brian J. Todd (2003): The multiple roles 
of acoustic mapping in Integrated ocean management 
Canadian Atlantic continental margin. Ocean & Coaste 
Management, DOI: 10.1016/5S0964-5691(03)00037-1 
kedmon, Joseph; Santosh Divvala et al. (2015): You Only Look 
Once: Unified, Real-Time Object Detection. DO: 10.21109/ 
CVPR.2016.91 
schmichuber, Juergen (2015): Deep learning in neural 
jetworks: An overview. Neural Networks, DOI: 10.1016/} 
neunNet.2014.09.003 
‚on Rönn, Gitta Ann; Klaus Schwarzer et al. (2019): Limitations 
of Boulder Detection in Shallow Water Habitats Using 
High-Resolution Sidescan Sonar Images. Geosciences; 
Ol: 10.3390/ge0oscienCes9090390 
Wilken, Dennis; Peter Feldens et al. (2012): Application of 2D 
ourier filtering for elimination of stripe noise in side-scan 
;onar mosaics. Geo-Marine Letters, DO! 10.1007/500367- 
312-0293-Z 
/okoya, Naoto; Claas Grohnfeldt; Jocelyn Chanussot 
(2017): Hyperspectral and Multispectral Data Fusion: 
A comparative review of the recent literature. IEEF 
Geoscience and Remote Sensing Magazine, DOI: 10.1109/ 
GRS.2016.2637824 
7hu, Xiao Xiang; Devis Tuia et al. (2017): Deep learning ir 
emote sensing: A comprehensive review and list of 
’esources. IEEE Geoscience and Remote Sensing Magazine 
DO: 10.1109/MGRS .2017.2762307