Abstract: The present invention presents four fusion approaches, which can be directly applied to Worldview-3 (WV-3) images. Moreover, they can also be applied to other current or future satellite images that have similar characteristics of WV-3. The present invention also presents data processing methods, including image fusion method, anomaly detection method, material classification method, and concentration estimation method that utilize the high-resolution images generated by the mentioned fusion methods. There are four fusion approaches disclosed in the present invention, e.g. Parallel one-step fusion approach; Sequential fusion of various bands; Sequential-Parallel fusion; and Parallel-Sequential fusion.

Abstract: A method for removing noise from a noisy image includes a few important steps. The noise level of the noisy image is first estimated based on the smooth blocks of the image. The original image is divided into many small blocks. Each of these blocks is then converted from a two dimensional matrix to vector, which is a one dimensional array. The converted vectors are next grouped and then a matrix recovery process based on a principal component analysis (PCA) has been performed in order to remove the noise, wherein the key is to determine the number of principal components to retain during the denoising process. Next, the denoised vectors are converted back to the denoised blocks, and the denoised blocks are used to reconstruct a denoised image with a better image quality.

Abstract: A noise cancellation device (NCD) comprises a microphone, an analog-to-digital converter, a digital-to-analog converter, a rechargeable battery, and a processor. The NCD acquires an audio input, from an external device such as a stethoscope or a cell phone, and passes the analog data into an ADC (analog-to-digital converter) for signal conversion. The digitized signals are then passed to the processor for further processing. The processor contains all the processing functions such as preprocessing (divide the input data into frames and apply shaping function to each frame), short term Fourier transform (STFT), adaptive filtering, inverse STFT, and signal synthesis.

Abstract: A method for removing noise from a noisy image includes a few important steps. The noise level of the noisy image is first estimated based on the smooth blocks of the image. The original image is divided into many small blocks. Each of these blocks is then converted from a two dimensional matrix to vector, which is a one dimensional array. The converted vectors are next grouped and then a matrix recovery process based on a principal component analysis (PCA) has been performed in order to remove the noise, wherein the key is to determine the number of principal components to retain during the denoising process. Next, the denoised vectors are converted back to the denoised blocks, and the denoised blocks are used to reconstruct a denoised image with a better image quality.

Abstract: A noise cancellation device (NCD) comprises a microphone, an analog-to-digital converter, a digital-to-analog converter, a rechargeable battery, and a processor. The NCD acquires an audio input, from an external device such as a stethoscope or a cell phone, and passes the analog data into an ADC (analog-to-digital converter) for signal conversion. The digitized signals are then passed to the processor for further processing. The processor contains all the processing functions such as preprocessing (divide the input data into frames and apply shaping function to each frame), short term Fourier transform (STFT), adaptive filtering, inverse STFT, and signal synthesis.

Abstract: This invention relates to a novel technology of fingerprint verifications and identifications based on the accumulated knowledge base.