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In this study object-based image analysis (OBIA) techniques were applied to assess land cover changes related to mineral extraction in a conflict-affected area of the eastern Democratic Republic of th...
With the rapid developments of the sensor technology, high spatial resolution imagery and airborne Lidar point clouds can be captured nowadays, which make classification, extraction, evaluation and an...
In this work, we propose an integrative framework to process UAV images. The overall process can be viewed as a pipeline consisting of the geometric and radiometric corrections, subsequent panoramic m...
In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses. Due to the strong...
QuickBird imagery covering Kakamega Forest in Western Kenya and the surrounding farmland (i.e. a total area of 631 km2) has been acquired for the interdisciplinary BIOTA East Africa research project. ...
The Support Vector Machine is a theoretically superior machine learning methodology with great results in classification of highdimensional datasets and has been found competitive with the best machin...
In order to avoid the time-consuming trial-and-error practice for seeking significant features for optimal class separation in object-based classification, an automatic feature extraction methodology,...
GEOBIA (Geographic Object-Based Image Analysis) is not only a hot topic of current remote sensing and geographical research. It is believed to be a paradigm in remote sensing and GIScience. The lack o...
Assessment of Trees outside forests (TOF) is widely being recognized as a pivotal theme, in sustainable natural resource management, due to their role in offering variety of goods, such as timber, fru...
DeCOVER serves as a national extension of the European Global Monitoring for Environment and Security (GMES) initiative. It was initiated to develop land cover information services adapted to German...
Mapping of sugarcane planted area is an important information for decision making, mainly when the search for alternatives to mitigate greenhouse gas emissions has indicated theuse o...
The Pantanal (Brazil) is one of the world’s largest tropical wetlands. A natural phenomenon that encourages more detailed scientific studies on this region is the genesis and behavior of innumerable s...
Before an object-based image classification can be used, one has to evaluate if it qualifies for its designated purpose, because uncertainty occurs in the complex process of object-based image analysi...
The study aims at developing forest cover inventory from high resolution satellite imagery (0.6m) of Ayubia National Park, NWFP, Pakistan. The 3372 ha study area is one of the best examples of existin...

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