... correctness Dynamic Statistical Region Merging (DSRM) is introduced. It tries to let probably the most similar regions to be tested first. Initially, it redefines the dissimilarity based-on regions. Then, it dynamically ...
... local image descriptors, to improve distinctiveness while maintaining robustness is the main concern ...in remotesensingimage registration ...rotation, image blur, jpeg compression, ...
... technology, remotesensing data is becoming richer, how to extract meaningful surface information from the emote sensing data has become a problem pressed for ...of remotesensing are ...
... of remotesensingimage processing, analysis and interpretation, it is usually necessary to combine several local images into a complete ...of remote sens- ing images is ...the image ...
... Remotesensing applications is one of the fields where further research on AIR is ...of remotesensing applications, one of the major problems is related to the radiometric content (due to ...
... denoising remotesensing ...The remotesensingimage denoising method based on this transform scheme is then described, and its utility is demonstrated by illustrative results of its ...
... of remote-sensing imagery, mixed pixels are common in medium and coarse spatial resolution data *20+, ...words, remotesensingimage contains a mix of pure and mixed ...the image ...
... GF-1 is a high resolution satellite launched by China. The PMS sensor of GF-1 provides a panchromatic band with 2m spatial resolution and four multispectral bands with 8m spectral resolution. In this paper, we choose ...
... an image into groups of pixels[1-2] which are homogeneous with respect to some criterion is called image ...an image is the main objective of image ...in image analysis and pattern ...
... Abstract: Deep Learning networks have sharply increased over the past 10 years, and deep Learning-Based Classification of RemoteSensingImage has attracted extensive interest. We trained a ...
... content-based image retrieval (CBIR) is a major advance that aims to search images using visual features that are similar to those of the query image submitted by the ...the image consisting of ...
... clouds. Image classification is one of the methods of thematic information ...Hyperspectral Image is performed using the Spectral Angle Mapper Algorithm which is a supervised ...for remote ...
... satellite remotesensing images using Guided ...an image generally lost color and ...whole image plane and are situated at various separations from the ...reconstructed image is usually ...
... eight image analysis algorithms were used: Sobel filtering, image resizing, image format conversion, auto contrasting, image sharpening, picture embedding, text embedding, and image ...
... Remotesensingimage is a representation of part of the earth ...The Remotesensing images is near the truth value of earth ...Hence, remotesensing images are widely used ...
... the remotesensing images, this method provides only one kind of security protection at a ...encrypted remotesensingimage doesn't bear the watermark and the watermarked image ...
... infrared image and video data sets is an expen- sive time consuming ...collecting image and video data with real camera ...Digital Image and RemoteSensingImage Generation ...
... compressive sensing (CS) [11–13] theory offers a brand-new field for HSI acquisition or compression, which only needs to capture a small number of incoherent measurements in the imaging ...