Evaluation of Textural Features for Multispectral Images

Bayram, Ulya
Can, Gulcan
Duzgun, Sebnem
Yalabik, Nese
Remote sensing is a field that has wide use, leading to the fact that it has a great importance. Therefore performance of selected features plays a great role. In order to gain some perspective on useful textural features, we have brought together state-of-art textural features in recent literature, yet to be applied in remote sensing field, as well as presenting a comparison with traditional ones. Therefore we selected most commonly used textural features in remote sensing that are grey-level co-occurrence matrix (GLCM) and Gabor features. Other selected features are local binary patterns (LBP), edge orientation features extracted after applying steerable filter, and histogram of oriented gradients (HOG) features. Color histogram feature is also used and compared. Since most of these features are histogram-based, we have compared performance of bin-by-bin comparison with a histogram comparison method named as diffusion distance method. During obtaining performance of each feature, k-nearest neighbor classification method (k-NN) is applied.


Investigation of Simulated Ground Penetrating Radar Data for Buried Objects Using Quadratic Time-Frequency Transformations
DOĞAN, MESUT; Sayan, Gönül (2017-07-14)
Sub-surface sensing is a challenging area of research that highly benefits from the use of ultra-wideband ground penetrating radar (GPR) technology. Detection and classification of buried objects with reduced false alarm rates is still open to improvements. Use of joint temporal and spectral target features obtained from electromagnetic GPR signals using time-frequency representation (TFR) methods is highly promising because TFRs provide detailed information about the energy distribution of GPR signals over...
Robust landmine detection from thermal image time series using Hough transform and rotationally invariant features
Kaya, Serkan; Leloğlu, Uğur Murat; Ozyer, Gulsah Tumuklu (2019-07-28)
Automated detection of buried anti-personnel landmines using remote sensing techniques is very important for clearing minefields without putting lives in danger. Although thermal infrared imaging is promising, it is far from applicable to the real world in its current state-of-the-art. The most serious problem is that experiments are generally held using sandboxes or levelled and cleared soil, but real fields are, at least partially, covered with plants. In this study, we present an algorithm for landmine d...
Forecasting of ionospheric electron density trough for characterization of aerospace medium
Kocabaş, Zeynep; Tulunay, Yurdanur; Department of Aerospace Engineering (2009)
Modeling the ionosphere, where the effects of solar dynamo becomes more effective to space based and ground borne activities, has an undeniable importance for telecommunication and navigation purposes. Mid-latitude electron density trough is an interesting phenomenon in characterizing the behavior of the ionosphere, especially during disturbed conditions. Modeling the mid-latitude electron density trough is a very popular research subject which has been studied by several researchers until now. In this work...
Dynamic stability flight tests of remote sensing measurement capable amphibious unmanned aerial vehicle (A-UAV)
Yayla, Metehan; Mutlu, Talha; Coşgun, Volkan; Kurtuluş, Bedri; Kurtuluş, Dilek Funda; Tekinalp, Ozan (2013-09-13)
Remote sensing techniques are widely used in earth sciences. Satellites and manned aircrafts are most common method for capturing remote sensing images. However, these techniques have some major disadvantages such as, high price, low image resolution, time restriction. Amphibious Unmanned Aerial Vehicle (A-UAV) is designed to integrate remote sensing measurement sensors to a Mini-UAV [Mutlu, 2012]. It can perform a 30 minutes of flight with 1 kg payload and 4 kg maximum take-off weight (MOTW). Main performa...
A progressive approach for processing satellite data by operational research
KUTER, SEMİH; Weber, Gerhard-Wilhelm; Akyürek, Sevda Zuhal (Springer Science and Business Media LLC, 2017-07-01)
Satellite data, together with spatial technologies, have a vital importance in earth sciences to continuously monitor natural and physical processes. However, images taken by earth-observing satellites are often associated with uncertainties due to atmospheric effects (i.e., absorption and scattering by atmospheric gases and aerosols). In this paper, a more adaptable approach for the removal of atmospheric effects from satellite data is introduced within an operational research perspective by utilizing nonp...
Citation Formats
U. Bayram, G. Can, S. Duzgun, and N. Yalabik, “Evaluation of Textural Features for Multispectral Images,” pp. 0–0, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67576.