Usually, the steganographic algorithms employ images, audio, video or text files as the medium to ensure hidden exchange of information between multiple contenders and to protect the data from the prying eyes. This paper presents a survey of text steganography method used for    hiding secret information inside some cover text. Here the text steganography algorithms based on modification of font format, font style et cetera, has advantages of great capacity, good imperceptibility and wide application range. The nonlinear character positions of different pages are targeted through out the cover with insignificant modification.  As compared to other methods, we believe that the approaches proposed convey superior randomness and thus support higher security.

SAR image classification is the progression of separating or grouping an image into different parts. The good feat of recognition algorithms based on the quality of classified image. The good recital of recognition algorithms depend on the quality of classified image. The proposed classification method is hierarchical: classes which are difficult to distinguish are grouped.An important problem in SAR image application is accurate classification. In this paper, we developed a new methodology of SAR image Classification by Entropy. The severance between different groups or classes is based on logistic and multi-nominal regression, which finds the best combination of features to make the separation and at the same time perform a feature selection depending on Grouped –Entropy value.