evolutionary optimisation techniques for band selection in drone ...
2023.ieeeigarss.org › view_paper
EVOLUTIONARY OPTIMISATION TECHNIQUES FOR BAND SELECTION IN DRONE-BASED HYPERSPECTRAL IMAGES FOR VEGETABLE CROPS MAPPING. ANAGHA S SARMA, RAMA RAO NIDAMANURI ...
Anagha S. Sarma, Rama Rao Nidamanuri: Evolutionary Optimisation Techniques for Band Selection in Drone-Based Hyperspectral Images for Vegetable Crops ...
Co-authors ; Evolutionary Optimisation Techniques for Band Selection in Drone-Based Hyperspectral Images for Vegetable Crops Mapping. AS Sarma, RR Nidamanuri.
Evolutionary Optimisation Techniques for Band Selection in Drone-Based Hyperspectral Images for Vegetable Crops Mapping. AS Sarma, RR Nidamanuri.
This study assesses the marine predator's algorithm (MPA), an evolutionary computing-based method inspired by nature, for classifying drone-based HSI collected ...
EVOLUTIONARY OPTIMISATION TECHNIQUES FOR BAND SELECTION IN DRONE-BASED. HYPERSPECTRAL IMAGES FOR VEGETABLE CROPS MAPPING. Wavelength range(nm). Number of bands.
Rama Rao Nidamanuri · View · Evolutionary Optimisation Techniques for Band Selection in Drone-Based Hyperspectral Images for Vegetable Crops Mapping. Conference ...
Evolutionary Optimisation Techniques for Band Selection in Drone-Based Hyperspectral Images for Vegetable Crops Mapping. Conference Paper. Jul 2023.
The aim of this review is to examine the critical role of drones as innovative tools to enhance management and yield of vegetable crops cultivation.
In this study, we use an evolutionary method, specifically GA, as an optimizer along with Support Vector Machine (SVM) as a classifier for effective band ...
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