Spatiotemporal Pattern of Invasive Pedicularis in the Bayinbuluke Land, China, during 2019–2021: An Analysis Based on PlanetScope and Sentinel-2 Data
The accurate identification and monitoring of invasive plants are of great significance to
sustainable ecological development. The invasive Pedicularis poses a severe threat to …
sustainable ecological development. The invasive Pedicularis poses a severe threat to …
Enhanced classification of hyperspectral images using improvised oversampling and undersampling techniques
In the era of climate change, monitoring and effective retrieval of soil, water bodies,
vegetation parameters etc. are of utmost importance which is successfully being executed …
vegetation parameters etc. are of utmost importance which is successfully being executed …
高光谱遥感影像半监督分类研究进展
杨星， 方乐缘， 岳俊 - 遥感学报, 2024 - ygxb.ac.cn
随着高光谱遥感技术的迅猛发展和应用需求的不断增加, 高光谱遥感影像分类成为领域的研究
热点. 尽管监督学习已在高光谱遥感影像分类中取得了不错的效果, 但在许多情况下 …
热点. 尽管监督学习已在高光谱遥感影像分类中取得了不错的效果, 但在许多情况下 …
Hyperspectral image classification using neural networks with effect of feature optimization on fused convolutional features
Analysis of data and synthesis for hyper spectral imaging (HSI) is a new branch of remotely
sensed data and planet surveillance technologies. Classification techniques with the help of …
sensed data and planet surveillance technologies. Classification techniques with the help of …
Automated Classification of Hyper Spectral Image Using Supervised Machine Learning Approach
R Gadhave, RR Sedamkar - … of Artificial Intelligence and Machine Learning …, 2022 - Springer
Hyperspectral imaging (HSI) acquired a lot of prominence as a field of exploration lately.
Extraction of features from HSI, assumes a fundamental part in improving the performance of …
Extraction of features from HSI, assumes a fundamental part in improving the performance of …
Performance Analysis Of Hyperspectral Data Classification Based On Hybrid Neural Network Approach
R Gadhave, RR Sedamkar… - Computer Integrated …, 2023 - cims-journal.net
Hyperspectral Image (HSI) data classification is a challenging task in remote sensing data
analysis, which has been applied in many domains for better identification and inspection of …
analysis, which has been applied in many domains for better identification and inspection of …
[PDF][PDF] Agrinet: A Hyperspectral Image Based Precise Crop Classification Model
A Palit, H Dolekar, K Yeturu - Proceedings Copyright, 2024 - scitepress.org
Modern smart agriculture utilizes Unmanned Arial Vehicles (UAVs) with hyperspectral
cameras to enhance crop production to address the food security challenges. These …
cameras to enhance crop production to address the food security challenges. These …