IEEE

MultiPC: Multitask Learning for Joint Pansharpening and Classification From Multispectral and Panchromatic Images

Abstract: Multitask learning (MTL) has broad applicability in remote sensing. Although MS/PAN-based pansharpening and classification tasks are highly complementary at the feature level, they are ...
Scientific Research Publishing

Ramachandra, T.V., Mondal, T. and Setturu, B. (2023) Relative Performance Evaluation of Machine Learning Algorithms for Land Use Classification Using Multispectral Moderate ...

ABSTRACT: Accurate land cover classification is essential for environmental monitoring, urban planning, and resource management. Conventional classifiers trained on raw spectral bands are often ...
Scientific Research Publishing

Candade, N. and Dixon, B. (2004) Multispectral Classification of Landsat Images: A Comparison of Support Vector Machine and Neural Network Classifiers. 2004 ASPRS Annual ...

ABSTRACT: Artisanal and small-scale (ASM) gold mining activities contribute to the livelihoods of about 200,000 miners and their dependents in the eastern provinces of the Democratic Republic of the ...
IEEE

Classification of Broad-Leaved Forest Tree Species Based on HSFC-DeepLabV3+ in UAV Multispectral Images

This study focuses on the automatic classification of broad-leaved forest tree species in the Millennium Forest of Xiongan New Area using UAV-based multispectral imagery. To address the limitations of ...