Intelligent detection of geographical objects from satelite images

Intelligent wireless monitoring of acute cardiac patients in a platform using computerized guidelines models: the SAPHIRE project Dorobantu, Maria; Fruntelata, Ana-Gabriela N.; Ghiorghe, Silviu; Ghilencea, Liviu; Enturkmen, Gokce Banu Laleci; Doğaç, Asuman (2008-03-11)
Intelligent analysis of chaos roughness in regularity of walk for a two legged robot Kaygisiz, BH; Erkmen, İsmet; Erkmen, Aydan Müşerref (Elsevier BV, 2006-07-01) We describe in this paper a new approach to the identification of the chaotic boundaries of regular (periodic and quasiperiodic) regions in nonlinear systems, using cell mapping equipped with measures of fractal dimension and rough sets. The proposed fractal-rough set approach considers a state space divided into cells where cell trajectories are determined using cell to cell mapping technique. All image cells in the state space, equipped with their individual fractal dimension are then classified as being ...
Automated detection of viewer engagement by head motion analysis Güler, Uğur; Temizel, Alptekin; Department of Information Systems (2015) Measuring viewer engagement plays a crucial role in education and entertainment. In this study we analyze head motions of the viewers from video streams to automatically determine their engagement level. Due to unavailability of a dataset for such an application, we have built our own dataset. By using face detection system, the head position of viewer is obtained throughout the video for each frame. Then, using these positions, we analyze and extract some features. In order to classify the data, we employ ...
Automatic reconstruction of photorealistic 3-d building models from satellite and ground-level images Sümer, Emre; Atalay, Mehmet Volkan; Türker, Mustafa; Department of Geodetic and Geographical Information Technologies (2011) This study presents an integrated framework for the automatic generation of the photorealistic 3-d building models from satellite and ground-level imagery. First, the 2-d building patches and the corresponding footprints are extracted from a high resolution imagery using an adaptive fuzzy-genetic algorithm approach. Next, the photorealistic facade textures are automatically extracted from the single ground-level building images using a developed approach, which includes facade image extraction, rectificatio...
Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques Karadal, Can Haktan; Kaya, Muhammed Çağrı; Tuncer, Turker; Dogan, Sengul; Acharya, U. Rajendra (2021-12-15) Automated classification of remote sensing images is one of the complex issues in robotics and machine learning fields. Many models have been proposed for remote sensing image classification (RSIC) to obtain high classification performance. The objective of this study are twofold. First, to create a new space object image collection as such a dataset is not currently available. Second, propose a novel RSIC model to yield highest classification performance using our newly created dataset. Our presented autom...

Citation Formats

M. V. Atalay and O. Dalay, “Intelligent detection of geographical objects from satelite images,” 2006. Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/95772.