Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review
Several machine-learning algorithms have been proposed for remote sensing image
classification during the past two decades. Among these machine learning algorithms …
classification during the past two decades. Among these machine learning algorithms …
Sentinel-2 data for land cover/use map**: 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 …
Land-use and land-cover classification using a human group-based particle swarm optimization algorithm with an LSTM Classifier on hybrid pre-processing remote …
GB Rajendran, UM Kumarasamy, C Zarro… - Remote Sensing, 2020 - mdpi.com
Land-use and land-cover (LULC) classification using remote sensing imagery plays a vital
role in many environment modeling and land-use inventories. In this study, a hybrid feature …
role in many environment modeling and land-use inventories. In this study, a hybrid feature …
Super-resolution-guided progressive pansharpening based on a deep convolutional neural network
J Cai, B Huang - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
Pansharpening and super-resolution (SR) methods share the same target to improve the
spatial resolution of images. Based on this similarity, we propose and develop a novel …
spatial resolution of images. Based on this similarity, we propose and develop a novel …
[HTML][HTML] Map** wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data
Y Cai, X Li, M Zhang, H Lin - … journal of applied earth observation and …, 2020 - Elsevier
Wetland ecosystems have experienced dramatic challenges in the past few decades due to
natural and human factors. Wetland maps are essential for the conservation and …
natural and human factors. Wetland maps are essential for the conservation and …
A remotely sensed assessment of surface ecological change over the Gomishan Wetland, Iran
Due to the excessive use of natural resources in the contemporary world, the importance of
ecological and environmental condition modeling has increased. Wetlands and cities …
ecological and environmental condition modeling has increased. Wetlands and cities …
Global open data remote sensing satellite missions for land monitoring and conservation: A review
The application of global open data remote sensing satellite missions in land monitoring and
conservation studies is in the state of rapid growth, ensuring an observation with high spatial …
conservation studies is in the state of rapid growth, ensuring an observation with high spatial …
Near infrared band of Landsat 8 as water index: a case study around Cordova and Lapu-Lapu City, Cebu, Philippines
Monitoring water bodies by extraction using water indexes from remotely sensed images
has proven to be effective in delineating surface water against its surrounding. This study …
has proven to be effective in delineating surface water against its surrounding. This study …
SM Yimer, A Bouanani, N Kumar, B Tischbein… - Advances in Space …, 2024 - Elsevier
Land use/land cover (LULC) information is regarded as one of the most important variables
in global change studies. Several LULC classification algorithms are available with different …
in global change studies. Several LULC classification algorithms are available with different …
Gem Citer Citeret af 6 S **e, L Liu, X Zhang, J Yang - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
Compared to change detection using two-dates satellite images, monitoring the changes at
high temporal frequencies using dense observations can provide more comprehensive …
high temporal frequencies using dense observations can provide more comprehensive …