A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?
As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …
everywhere because of its ability to analyze and create text, images, and beyond. With such …
Land-use land-cover classification by machine learning classifiers for satellite observations—A review
Rapid and uncontrolled population growth along with economic and industrial development,
especially in developing countries during the late twentieth and early twenty-first centuries …
especially in developing countries during the late twentieth and early twenty-first centuries …
[HTML][HTML] Deep learning classifiers for hyperspectral imaging: A review
Advances in computing technology have fostered the development of new and powerful
deep learning (DL) techniques, which have demonstrated promising results in a wide range …
deep learning (DL) techniques, which have demonstrated promising results in a wide range …
Sentinel-2 data for land cover/use mapping: A review
The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
[HTML][HTML] Deep learning in Alzheimer's disease: diagnostic classification and prognostic prediction using neuroimaging data
Deep learning, a state-of-the-art machine learning approach, has shown outstanding
performance over traditional machine learning in identifying intricate structures in complex …
performance over traditional machine learning in identifying intricate structures in complex …
Comprehensive review of artificial neural network applications to pattern recognition
The era of artificial neural network (ANN) began with a simplified application in many fields
and remarkable success in pattern recognition (PR) even in manufacturing industries …
and remarkable success in pattern recognition (PR) even in manufacturing industries …
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies
L Yang, S Jin, P Danielson, C Homer, L Gass… - ISPRS journal of …, 2018 - Elsevier
Abstract The US Geological Survey (USGS), in partnership with several federal agencies,
has developed and released four National Land Cover Database (NLCD) products over the …
has developed and released four National Land Cover Database (NLCD) products over the …
Implementation of machine-learning classification in remote sensing: An applied review
Machine learning offers the potential for effective and efficient classification of remotely
sensed imagery. The strengths of machine learning include the capacity to handle data of …
sensed imagery. The strengths of machine learning include the capacity to handle data of …
Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using Sentinel-2 imagery
P Thanh Noi, M Kappas - Sensors, 2017 - mdpi.com
In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-
Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost …
Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost …
Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest
Mapping and monitoring the distribution of croplands and crop types support policymakers
and international organizations by reducing the risks to food security, notably from climate …
and international organizations by reducing the risks to food security, notably from climate …