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Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Remote sensing image segmentation advances: A meta-analysis
The advances in remote sensing sensors during the last two decades have led to the
production of very high spatial resolution multispectral images. In order to adapt to this rapid …
production of very high spatial resolution multispectral images. In order to adapt to this rapid …
Decision tree and random forest classification algorithms for mangrove forest map** in Sembilang National Park, Indonesia
Sembilang National Park, one of the best and largest mangrove areas in Indonesia, is very
vulnerable to disturbance by community activities. Changes in the dynamic condition of …
vulnerable to disturbance by community activities. Changes in the dynamic condition of …
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer
Controlling weed infestation through chemicals (herbicides & pesticides) is essential for crop
yield. However, excessive use of these chemicals has caused severe agronomic and …
yield. However, excessive use of these chemicals has caused severe agronomic and …
[HTML][HTML] Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields
Weeds are undesired plants in agricultural fields that affect crop yield and quality by
competing for nutrients, water, sunlight and space. For centuries, farmers have used several …
competing for nutrients, water, sunlight and space. For centuries, farmers have used several …
A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for map** urban tree species
Urban forest tree species map** has benefitted from advances in remote sensing
techniques. In this study, we explored the potential of the newly developed high resolution …
techniques. In this study, we explored the potential of the newly developed high resolution …
Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline
Abstract What is Geographic Object-Based Image Analysis (GEOBIA)? To answer this we
provide a formal definition of GEOBIA, present a brief account of its coining, and propose a …
provide a formal definition of GEOBIA, present a brief account of its coining, and propose a …
Symmetrical dense-shortcut deep fully convolutional networks for semantic segmentation of very-high-resolution remote sensing images
G Chen, X Zhang, Q Wang, F Dai… - IEEE Journal of …, 2018 - ieeexplore.ieee.org
Semantic segmentation has emerged as a mainstream method in very-high-resolution
remote sensing land-use/land-cover applications. In this paper, we first review the state-of …
remote sensing land-use/land-cover applications. In this paper, we first review the state-of …
Remote sensing of wetlands: applications and advances
RW Tiner, MW Lang, VV Klemas - 2015 - books.google.com
This book provides a thorough introduction to the use of remotely sensed data for wetland
classification and map**, as well as information on the latest technological advancements …
classification and map**, as well as information on the latest technological advancements …
Classification of the wildland–urban interface: A comparison of pixel-and object-based classifications using high-resolution aerial photography
The expansion of urban development into wildland areas can have significant
consequences, including an increase in the risk of structural damage from wildfire. Land-use …
consequences, including an increase in the risk of structural damage from wildfire. Land-use …