[PDF] Top 20 A comparative study of noise removal from High Resolution Remote Sensing Images

... salt-and-pepper noise will have dark pixels in bright regions and bright pixels in dark ...of noise can be caused by dead pixels, analog-to-digital converter errors; bit errors in transmission, ... See full document

... very high resolution (VHR) Remote Sensing images represent serious problems for their full ...very high resolution (VHR) Remote Sensing images for ... See full document

... the removal of Impulse noise using filters and image fusion techniques are existing in the ...impulse noise and for image fusion technique, a few of them are ...Impulse Noise Reduction in ... See full document

... for high resolution remote sensing images based on JSEG and NMI is proposed in this ...using high frequency sub-bands in different directions on final registration results when ... See full document

... results from the simulated dataset indicates the superiority of using absolute difference between {red, green, blue and hue} layers as a vector ( ) in the proposed framework over using CVA as a vector ( ...period ... See full document

... geographic images, owing to the generated generic ro- bust deep ...Different from existing methods of HRRS scene classification which focus on improving the network architecture or feature encoding method, ... See full document

... The purpose of image preprocessing is to weaken false edges generated by the image noise and enhance right edge information. M. Sharifi, M. Fathy, M. T. Mahmoudi [14] discussed the advantages and disadvantages of ... See full document

... of high resolution remote sensing images, a novel edge detection algorithm based on wavelet enhancement and mathematical morphology is ...the remote sensing image is ... See full document

... a comparative work [16], several invariant color spaces comprising HIS, HSV, HCV, YIQ and YCbCr, were analyzed to detect ...this study, a better shadow-detection approach was developed, using a novel ... See full document

... for remote sensing applications. To make remote sensing image classification effective the training set should be as small as possible and must include highly informative ...of remote ... See full document

... The output of the thresholding operation is a binary image whose gray level of 0 (black) will indicate a pixel belonging to a print, legend, drawing, or target and a gray level of 1 (white) will indicate the background. ... See full document

... shadows from images can significantly improve and facilitate the performance of certain computer vision tasks, such as tracking, segmentation, and object detection, where shadow boundaries are often ... See full document

... extracted from Google Earth that covers some of the cities in US with various resolution and contains 38 scene classes('airplane', 'base ball field', 'basket ball court', 'beach', 'bridge', 'cemetery', ... See full document

... is the opposite situation than in the case of ce- reals, for which the spectrum of the reflected light changes along with changes of phonologi- cal phase [Martyniak et al. 2007]. The analyses performed by the Institute ... See full document

... is remote with poor trans- ...of remote sensing data effectively gives play to the advantages of different information sources of MODIS and Landsat data; the remote sensing information ... See full document

... and removal in real scene images are always a significant ...shadow from that image. In remote sensing images (urban), shadows are usually created by elevated objects such as ... See full document

... image from a digital camera or any remote sensor. Noise is a function of how well the image sensor and digital signal processing systems inside the digital camera are prone to and can cope with or ... See full document

... pepper noise from surveillance ...technique, noise removal from video sequences aims to utilize both temporal and spatial ...whole images in the temporal domain, we formulate the ... See full document

... has high pixel values. It is clear from the bimodal nature of the histogram that there are two predominant features in ...shadow from the non-shadow ... See full document

... There are many scientists who worked on the chaotic encryption techniques like S. Bennie et al. proposed a novel algorithm for image encryption based on mixture of chaotic maps. In this symmetric key cryptography ... See full document