Cargando…
On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network
This research work aims to develop a deep learning-based crop classification framework for remotely sensed time series data. Tobacco is a major revenue generating crop of Khyber Pakhtunkhwa (KP) province of Pakistan, with over 90% of the country’s Tobacco production. In order to analyze the performa...
Autores principales: | Minallah, Nasru, Tariq, Mohsin, Aziz, Najam, Khan, Waleed, Rehman, Atiq ur, Belhaouari, Samir Brahim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7521744/ https://www.ncbi.nlm.nih.gov/pubmed/32986785 http://dx.doi.org/10.1371/journal.pone.0239746 |
Ejemplares similares
-
Long short term memory deep net performance on fused Planet-Scope and Sentinel-2 imagery for detection of agricultural crop
por: Rehman, Touseef Ur, et al.
Publicado: (2023) -
Effect of hyper-parameters on the performance of ConvLSTM based deep neural network in crop classification
por: Durrani, Awab ur Rashid, et al.
Publicado: (2023) -
Averting BER Floor with Iterative Source and Channel Decoding for Layered Steered Space-Time Codes
por: Minallah, Nasru, et al.
Publicado: (2021) -
Inception Convolution and Feature Fusion for Person Search
por: Ouyang, Huan, et al.
Publicado: (2023) -
On the Performance of Video Resolution, Motion and Dynamism in Transmission Using Near-Capacity Transceiver for Wireless Communication
por: Minallah, Nasru, et al.
Publicado: (2021)