Crop type classification using a combination of optical and radar remote sensing data: A review

A Orynbaikyzy, U Gessner, C Conrad - international journal of …, 2019 - Taylor & Francis
Reliable and accurate crop classification maps are an important data source for agricultural
monitoring and food security assessment studies. For many years, crop type classification …

Remote sensing of urban poverty and gentrification

L Lin, L Di, C Zhang, L Guo, Y Di - Remote Sensing, 2021 - mdpi.com
In the past few decades, most urban areas in the world have been facing the pressure of an
increasing population living in poverty. A recent study has shown that up to 80% of the …

Unsupervised feature learning for aerial scene classification

AM Cheriyadat - IEEE Transactions on Geoscience and Remote …, 2013 - ieeexplore.ieee.org
The rich data provided by high-resolution satellite imagery allow us to directly model aerial
scenes by understanding their spatial and structural patterns. While pixel-and object-based …

An SVM ensemble approach combining spectral, structural, and semantic features for the classification of high-resolution remotely sensed imagery

X Huang, L Zhang - IEEE transactions on geoscience and …, 2012 - ieeexplore.ieee.org
In recent years, the resolution of remotely sensed imagery has become increasingly high in
both the spectral and spatial domains, which simultaneously provides more plentiful spectral …

[HTML][HTML] Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation

M Luo, S Ji - ISPRS Journal of Photogrammetry and Remote …, 2022 - Elsevier
Automatic land use/land cover (LULC) classification from very high resolution (VHR) remote
sensing images can provide us with rapid, large-scale, and fine-grained understanding of …

Morphological building/shadow index for building extraction from high-resolution imagery over urban areas

X Huang, L Zhang - IEEE Journal of Selected Topics in Applied …, 2011 - ieeexplore.ieee.org
Morphological building index (MBI) is a recently developed approach for automatic
indication of buildings in high-resolution imagery. However, MBI is subject to commission …

Crop classification based on phenology information by using time series of optical and synthetic-aperture radar images

F Kordi, H Yousefi - Remote Sensing Applications: Society and …, 2022 - Elsevier
Crop classification provides essential information for ensuring global food security, allowing
early crop monitoring practices and water irrigation management. Despite of high …