Automated Detection of Clouds in Satellite Imagery
نویسنده
چکیده
منابع مشابه
3D Detection of Power-Transmission Lines in Point Clouds Using Random Forest Method
Inspection of power transmission lines using classic experts based methods suffers from disadvantages such as highel level of time and money consumption. Advent of UAVs and their application in aerial data gathering help to decrease the time and cost promenantly. The purpose of this research is to present an efficient automated method for inspection of power transmission lines based on point c...
متن کاملOnboard Detection of Snow, Ice, Clouds and Other Geophysical Processes Using Kernel Methods
The detection of clouds within a satellite image is essential for retrieving surface geophysical parameters from optical and thermal imagery. Even a small percentage of cloud cover within a radiometer pixel can adversely affect the determination of surface variables such as albedo and temperature. Thus, onboard processing of satellite data requires reliable automated cloud detection algorithms ...
متن کاملCloud and Cloud-Shadow Detection in SPOT5 HRG Imagery with Automated Morphological Feature Extraction
Detecting clouds in satellite imagery is becoming more important with increasing data availability, however many earth observation sensors are not designed for this task. In Satellite pour l’Observation de la Terre 5 (SPOT5) High Resolution Geometrical (HRG) imagery, the reflectance properties of clouds are very similar to common features on the earth’s surface, in the four available bands (gre...
متن کاملAutomated Damage Detection and Visualization Using High-resolution Satellite Data for Post-disaster Assessment
The focus of this study is to thoroughly exploit the capability of very high-resolution (VHR) satellite imagery such as IKONOS and QuickBird for disaster mitigation. An efficient automated methodology that detects damage is implemented to derive the rich information available from VHR satellite imagery. Consequently, the detected results and the VHR satellite imagery are attractively presented ...
متن کاملClassification of Clouds in Satellite Imagery Using Adaptive Fuzzy Sparse Representation
Automatic cloud detection and classification using satellite cloud imagery have various meteorological applications such as weather forecasting and climate monitoring. Cloud pattern analysis is one of the research hotspots recently. Since satellites sense the clouds remotely from space, and different cloud types often overlap and convert into each other, there must be some fuzziness and uncerta...
متن کامل