Khilola Amankulova

According to our database, Khilola Amankulova authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

HypsLiDNet: 3-D-2-D CNN Model and Spatial-Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data.

Nizom Farmonov, Mohammad Esmaeili, Dariush Abbasi-Moghadam, Alireza Sharifi, Khilola Amankulova, László Mucsi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery.

Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei, József Szatmári, Waleed Khan, Mohamed Zhran, Jamshid Rustamov, Sharifboy Akhmedov, Maksudxon Sarimsakov, László Mucsi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation.

Nizom Farmonov, Khilola Amankulova, József Szatmári, Jamol Urinov, Zafar Narmanov, Jakhongir Nosirov, László Mucsi

Int. J. Digit. Earth, December, 2023

Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches.

Seyed Mahdi Mirhoseini Nejad, Dariush Abbasi-Moghadam, Alireza Sharifi, Nizom Farmonov, Khilola Amankulova, László Mucsi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms.

Nizom Farmonov, Khilola Amankulova, József Szatmári, Alireza Sharifi, Dariush Abbasi-Moghadam, Seyed Mahdi Mirhoseini Nejad, László Mucsi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023