[PDF] Top 20 Cloud and Shadow Identification from Aerial Images

... identifying shadow and cloud was discussed in the paper where the color histogram techniques together with automatic thresholding is used to detect the threshold value to find the presence of cloud ... See full document

... digital images), odnosno 'usklađivanje snimaka' ...point cloud) koji se u daljnjim postupcima (interpolacijom) može koristiti za modeliranje terena, i to ponajprije za izradu ... See full document

... unmaned aerial vehicle, quality analysis, digital surface model, point cloud, spatial resolution Abstract Along with the modern technological developments, also the individual branches of land surveying as ... See full document

... oblique aerial imagery offers the potential to reconstruct the former geometry of valley glaciers and other landscape ...data from archive oblique aerial imagery is ...oblique aerial ... See full document

... synthetic images and their corresponding shadow masks using the digital imaging and remote sensing image generation (DIRSIG) model ...imagery from the visible through the thermal infrared region of ... See full document

... and cloud shadows from satellite and aerial ...the cloud shadow removal techniques from satellite imagery depend on having multi-temporal data for a given ...good, ... See full document

... with shadow sub-region pixels in the proposed method, rather than compared with nonshadow sub-region pixels in Tian’s study [16], although the proposed and the Tian’s studies are both derived from blackbody ... See full document

... raw aerial image and improve its quality. Raw digital images usually contain significant geometric distortions introduced by factors such as variations of the sensor platform, relief displacement, and ... See full document

... 7. C ONCLUSIONS Crop and forestry management fields often get benefits from a vast range of remote sensing applications to maintain sustainable management. Image classification is one of the important tasks which ... See full document

... Color aerial images, convolution filtering, Morphology erosion, Adaptive histogram equalization, Image adjustment, Shadow ...of aerial platforms like unmanned aerial vehicles and ... See full document

... illumination, shadow and occlusion, a road in an image does not have all features mentioned above, which makes it difficult to extract road from a RS ... See full document

... Final Classification All areas marked by red circles in Figure 4b are classified using support vector machines (SVM) [71–74]. In general, the final classification could have been carried out using the same algorithm as ... See full document

... target from a ten-face array, accuracy is only at 70% 10,26 ...high-quality images that depict people in a frontal view, with a neutral expression, and under good ...video images 31 ...identical ... See full document

... the shadow-overlapping algorithm for building height ...the shadow lengths of buildings, resulting in large errors in calculated H B ...the identification of shadow ...estimated from ... See full document

... condominium. From these building’s boundaries, 262 fac¸ade images are cropped, selec- ted, and rectified to front-view to generate the experiment data- set, and the detailed statistics and image examples ... See full document

... crowd from surveillance imagery is important to monitor public places and to ensure public ...detection from static image captured from Unmanned Aerial ...different images were used ... See full document

... Though shadow characteristics are used in recognition of building position, height and other useful parameters it may cause a high risk to produce false color tones, to distort the shape, to merge, or to lose ... See full document

... of images, circulation demands the observation of their inscriptions and absences in multi “dispositifs” of multiple ...think images for circulation, that is, there is no fact as a trampling, a social ... See full document

... resolution images and medium or high ying aerial vehicles, feature- based algorithms oer more accurate and robust estimation of pointwise correspon- ... See full document

... with aerial images taken from a UAV, they exposed to more questions that cannot be sufficiently addressed by changes in texture ...Also, aerial picture got less structure compared to picture ... See full document