Applied Sciences, 2022 During the past decade, deep learning-based classification methods (e.g., convolutional neural networks—CNN) have demonstrated great success in a variety of vision tasks, including satellite image classification. Deep learning methods, on the other hand,
Omer Saud Azeez +3 more
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Mapping and classification of ecologically sensitive marine habitats using unmanned aerial vehicle (UAV) imagery and object-based image analysis (OBIA) [PDF]
, 2018 Nowadays, emerging technologies, such as long-range transmitters, increasingly miniaturized components for positioning, and enhanced imaging sensors, have led to an upsurge in the availability of new ecological applications for remote sensing based on ...
Ardizzone, Domenico +4 more
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A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands [PDF]
, 2019 Climate change and human actions condition the spatial distribution and structure of vegetation, especially in drylands. In this context, object-based image analysis (OBIA) has been used to monitor changes in vegetation, but only a few studies have ...
Alcaraz Segura, Domingo +4 more
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Object-based approach for urban land cover mapping using high spatial resolution data [PDF]
E3S Web of Conferences, 2021 This paper deals with object-oriented image analysis applied for an urban area. Very high-resolution images in conjunction with object-oriented image analysis have been used for land cover detection.
Verone Wojtaszek Malgorzata +3 more
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Fine-scale mapping of vector habitats using very high resolution satellite imagery : a liver fluke case-study [PDF]
, 2014 The visualization of vector occurrence in space and time is an important aspect of studying vector-borne diseases. Detailed maps of possible vector habitats provide valuable information for the prediction of infection risk zones but are currently lacking
Charlier, Johannes +8 more
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Optimal land cover mapping and change analysis in northeastern oregon using landsat imagery. [PDF]
, 2015 The necessity for the development of repeatable, efficient, and accurate monitoring of land cover change is paramount to successful management of our planet’s natural resources. This study evaluated a number of remote sensing methods for classifying land
Campbell, Michael J +2 more
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Using Geobia and Data Fusion Approach for Land use and Land Cover Mapping
Quaestiones Geographicae, 2016 Land Use and Land Cover (LULC) maps play an important role in an environmental modelling, and for many years efforts have been made to improve and streamline the expensive mapping process.
Wężyk Piotr +4 more
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GIScience & Remote Sensing, 2019 Typhoon flooding normally occurs suddenly with short duration, and the thick cloud cover limits the ability of one single satellite to timely capture the inundation extent.
Phuong D. Dao +2 more
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GIScience & Remote Sensing, 2018 Deep learning networks have shown great success in several computer vision applications, but its implementation in natural land cover mapping in the context of object-based image analysis (OBIA) is rarely explored area especially in terms of the impact ...
Tao Liu +3 more
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Evaluation of Above-Ground Carbon Sequestration of Forest in Mahasarakham University Using Remote Sensing Data [PDF]
Warasan Witthayasat Lae Theknoloyi Mahawitthayalai Mahasarakham, 2020 At present, the increase of greenhouse gas has led to anincrease in global temperature. This problem can be solved by extending green areas to reduce the amount of gas.
Jaturong Som-ard
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