@inproceedings{fdi:010078279, title = {{M}atecho : an open-source tool for processing fisheries acoustics data to facilitate collaborative development [r{\'e}sum{\'e} de poster]}, author = {{P}errot, {Y}annick and {B}rehmer, {P}atrice and {H}abasque, {J}{\'e}r{\'e}mie and {R}oudaut, {G}ildas and {B}ehagle, {N}olwenn and {S}arr{\'e}, {A}. and {D}iogoul, {N}. and {L}ebourges {D}haussy, {A}nne}, editor = {}, language = {{ENG}}, abstract = {{M}atecho is an automated processing method to extract information and perform echo-integration and fish shoal extraction from various scientific echo-sounder sources providing digital acoustic data on fisheries and aquatic ecosystem. {T}he open-source initiative helps foster collaboration and technological transfer. {M}atecho supports various formats, such as the international standard format for the exchange of fisheries acoustics raw and edited data. {T}he procedure allows the semiautomatic cleaning of echogram data and the application of automatic data filters, i.e., transient noise, attenuated signal and impulsive noise removal and background noise reduction. {E}cho-integration processing is executed for each depth layer and integrates their characteristics per elementary sampling unit. {S}ound scattered layers are automatically detected by segmentation from the echo-integrated echogram, and shoals are extracted according to an iterative process of aggregation of filtered echogram echoes that allows, in both cases, the calculation of the ad hoc parameters describing morphological, spatial location and acoustic characteristics of sound scattered layers and shoals. {M}atecho is open-source software for researchers and provides end users with a user-friendly, free executable program.}, keywords = {{AFRIQUE} {DE} {L}'{OUEST} ; {ATLANTIQUE}}, numero = {}, pages = {150}, booktitle = {{I}nternational conference {ICAWA} 2017 and 2018 : extended book of abstract : the {AWA} project : ecosystem approach to the management of fisheries and the marine environment in {W}est {A}frican waters}, year = {2019}, ISBN = {978-9553602-0-06}, URL = {https://www.documentation.ird.fr/hor/fdi:010078279}, }