Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions
MA Moharram, DM Sundaram - Neurocomputing, 2023 - Elsevier
Recently, many efforts have been concentrated on land use land cover (LULC) classification
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …
[HTML][HTML] Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review
N Wambugu, Y Chen, Z ** based on noisy label learning: A case study of China
The spatial resolution of land cover map** has been increasing with the evolution of Earth
observation technology. However, the higher spatial resolution makes it more laborious to …
observation technology. However, the higher spatial resolution makes it more laborious to …
Multiscale location attention network for building and water segmentation of remote sensing image
X Dai, M **
Land cover map** provides spatial information on the physical properties of the Earth's
surface for various classes of wetlands, artificial surface and constructions, vineyards, water …
surface for various classes of wetlands, artificial surface and constructions, vineyards, water …
[HTML][HTML] Deep learning techniques for hyperspectral image analysis in agriculture: A review
In recent years, there has been a growing emphasis on assessing and ensuring the quality
of horticultural and agricultural produce. Traditional methods involving field measurements …
of horticultural and agricultural produce. Traditional methods involving field measurements …