Documentos de Bentir S.A.P. | REDI

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Mostrando 4 resultados de: 4

Filtros aplicados

Área temáticas: "Ciencias de la computación"

Subtipo de publicación

Conference Object(4)

Publisher

38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017(4)

Área temáticas

Ciencias de la tierra(1)

Física aplicada(1)

Área de conocimiento

Aprendizaje automático(2)

Ciencias de la computación(1)

Año de Publicación

Origen

Palabras Claves

Cocos nucifera(2)

Mapping hydrological dataset(2)

Support Vector Machine(2)

Canopy height model(1)

A one-against-all extraction of Cocos nucifera at individual tree crown level via support vector machine classification using LiDAR data

Conference Object

Abstract: Philippines is the second largest producer of Cocos nucifera, also known as coconut, in the world, w

Palabras claves:

Cocos nucifera, Individual Tree Crown, Lidar, Object Based Image Analysis, Support Vector Machine

Ballado A.H., Bentir S.A.P., Caluyo F.S., Garcia R.G., Jennifer C. Dela Cruz, Magwili G.V., Sarte S.M.

Philippine hydrological dataset mapping in batangas province using lidar data and distance validation using laser range finder

Conference Object

Abstract: The Philippines experiences at least 20 typhoons that causes flood to cities every year. Areas near

Palabras claves:

Gizduino, Laser range finder, Lidar, Mapping hydrological dataset

Balaguer C.N., Ballado A.H., Bentir S.A.P., Enriquez J.M.P., Garcia R.G., Jennifer C. Dela Cruz, Magwili G.V., Pinalas C.P.Y., Ruiz G.R.R.M., Sarte S.M.

Utilizing decision tree-based thresholds in reconstructing training datasets for single-classification binary support vector machine problem from point cloud data

Conference Object

Abstract: In some cases of agricultural features extraction, the binary Support Vector Machine (SVM) classific

Palabras claves:

Canopy height model, Cocos nucifera, decision tree, Lidar, Support Vector Machine

Ballado A.H., Bentir S.A.P., Caluyo F.S., Garcia R.G., Jennifer C. Dela Cruz, Magwili G.V., Sarte S.M.

Utilizing light detection and ranging technology for watershed delineation and mapping of Philippine hydrologic datasets in quezon with depth validation using utrasoonic sensor and mobile application

Conference Object

Abstract: Addressing the problems arising from poor flood management and water budgeting, as well as from the

Palabras claves:

Depth finder sensor, Lidar, Mapping hydrological dataset

Alarcon M.R., Ballado A.H., Bentir S.A.P., Buenaventura J.E., Castrence L.A., Garcia R.G., Jennifer C. Dela Cruz, Magwili G.V., Ortega D.J., Sarte S.M.