Supervised methods of image segmentation accuracy assessment in land cover mapping
Land cover mapping via image classification is sometimes realized through object-based
image analysis. Objects are typically constructed by partitioning imagery into spatially …
image analysis. Objects are typically constructed by partitioning imagery into spatially …
Remote sensing imagery segmentation in object-based analysis: A review of methods, optimization, and quality evaluation over the past 20 years
Object-based image analysis (OBIA) has become a key research topic for decades and
represents an attractive paradigm leading to accurate features classification and recognition …
represents an attractive paradigm leading to accurate features classification and recognition …
Conterminous United States crop field size quantification from multi-temporal Landsat data
Agricultural field size is indicative of the degree of agricultural capital investment,
mechanization and labor intensity, and it is ecologically important. A recently published …
mechanization and labor intensity, and it is ecologically important. A recently published …
Accuracy assessment of ESA WorldCover 2020 and ESRI 2020 land cover maps for a Region in Syria
F Chaaban, J El Khattabi, H Darwishe - Journal of Geovisualization and …, 2022 - Springer
Obtaining high-accuracy land use/land cover (LULC) maps is very costly; therefore, the use
of the global LULC maps may prove to be very effective in several domains, including for …
of the global LULC maps may prove to be very effective in several domains, including for …
Comparison and assessment of different object-based classifications using machine learning algorithms and UAVs multispectral imagery: A case study in a citrus …
This study aimed to compare and assess different Geographic Object-Based Image Analysis
(GEOBIA) and machine learning algorithms using unmanned aerial vehicles (UAVs) …
(GEOBIA) and machine learning algorithms using unmanned aerial vehicles (UAVs) …
A survey of methods incorporating spatial information in image classification and spectral unmixing
Over the past decade, the incorporation of spatial information has drawn increasing attention
in multispectral and hyperspectral data analysis. In particular, the property of spatial …
in multispectral and hyperspectral data analysis. In particular, the property of spatial …
Accuracy assessment measures for object extraction from remote sensing images
Object extraction from remote sensing images is critical for a wide range of applications, and
object-oriented accuracy assessment plays a vital role in guaranteeing its quality. To …
object-oriented accuracy assessment plays a vital role in guaranteeing its quality. To …
Using mixed objects in the training of object-based image classifications
Image classification for thematic mapping is a very common application in remote sensing,
which is sometimes realized through object-based image analysis. In these analyses, it is …
which is sometimes realized through object-based image analysis. In these analyses, it is …
A contemporary decennial examination of changing agricultural field sizes using Landsat time series data
EV White, DP Roy - Geo: Geography and environment, 2015 - Wiley Online Library
Field size distributions and their changes have not been studied over large areas as field
size change datasets are not available. This study quantifies agricultural field size changes …
size change datasets are not available. This study quantifies agricultural field size changes …
Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk
Monitoring of soils used for agriculture at frequent intervals is crucial to support decision
making and refining soil policies especially in the context of climate change. Along with …
making and refining soil policies especially in the context of climate change. Along with …