Listar por autor "Chicchón Apaza, Miguel Ángel"
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Integrating a LiDAR Sensor in a UAV Platform to Obtain a Georeferenced Point Cloud
Del Savio, Alexandre Almeida; Luna Torres, Ana Felícita; Chicchón Apaza, Miguel Ángel; Vergara Olivera, Mónica Alejandra; Llimpe Rojas, Rocio Sara; Urday Ibarra, Gianella Tania; Reyes Ñique, José Luis; Macedo Arevalo, Rolando Issac (MDPI, 2022)Acceso abiertoThe combination of light detection and ranging (LiDAR) sensors and unmanned aerial vehicle (UAV) platforms have garnered considerable interest in recent years because of the wide range of applications performed through ... -
Semantic Segmentation of Underwater Environments Using DeepLabv3+ and Transfer Learning
Chicchón Apaza, Miguel Ángel; Bedón Monzón, Héctor Manuel (Springer, 2022)Acceso restringidoThe semantic segmentation approach is essential in automated scene analysis, but its application in underwater environments is still limited. Datasets generally have insufficient labeled data, unbalanced data classes, and ... -
Semantic Segmentation of Weeds and Crops in Multispectral Images by Using a Convolutional Neural Networks Based on U-Net
Chicchón Apaza, Miguel Ángel; Bedón Monzón, Héctor Manuel (Springer, 2020)Acceso restringidoA first step in the process of automating weed removal in precision agriculture is the semantic segmentation of crops, weeds and soil. Deep learning techniques based on convolutional neural networks are successfully applied ... -
Semantic Segmentation Using Convolutional Neural Networks for Volume Estimation of Native Potatoes at High Speed
Chicchón Apaza, Miguel Ángel; Huerta, Ronny (Springer, 2021)Acceso restringidoPeru is one of the main producers of a wide variety of native potatoes in the world. Nevertheless, to achieve a competitive export of derived products is necessary to implement automation tasks in the production process. ...