Lin Deng

Title: Innovations in Hyperspectral Image Processing by Lin Deng

Introduction

Lin Deng, an accomplished inventor based in Guangdong, China, has made significant strides in the field of hyperspectral image processing. With a total of two patents to his name, he has contributed innovative solutions that enhance the classification and extraction of features from hyperspectral remote sensing images.

Latest Patents

Lin Deng’s latest patents include an "Image classification method and device," which provides a novel approach to image fusion classification. This method utilizes a Support Vector Machine (SVM) classifier to create a three-dimensional weight matrix from hyperspectral images. Following this, it performs superpixel segmentation to generate multiple superpixel images. The innovation continues as the three-dimensional weight matrix is regularized using a superpixel-image-based segmentation method, enabling accurate classification based on the regularized matrix.

Another significant patent is the "Method and system for extracting and classifying features of hyperspectral remote sensing image." This invention outlines a detailed process involving several steps, including sampling, binarizing, coding, statistical calculations, concatenating, and classifying. The approach makes effective use of the relationship between the spectral and spatial domains of hyperspectral images by extending two-dimensional Local Binary Patterns (LBPs) into three-dimensional LBPs. This model boasts a robust design against noise interference and introduces a rotation-invariant characteristic that aligns with the essential features of hyperspectral images.

Career Highlights

Lin Deng currently works at Shenzhen University, a leading institution renowned for research and development in technology and various scientific fields. His work emphasizes the potential applications of advanced image processing techniques in real-world scenarios, demonstrating his commitment to innovation within the scientific community.

Collaborations

During his career, Lin has collaborated with notable coworkers, including Sen Jia and Jie Hu. Their collective expertise fosters an environment of innovation and progress, significantly contributing to advancements in hyperspectral imaging technologies.

Conclusion

Lin Deng stands out as a prominent figure in the realm of image processing, primarily through his groundbreaking patents and ongoing research at Shenzhen University. With his focus on enhancing hyperspectral image analysis, he continues to push the boundaries of technological innovation, paving the way for future advancements in remote sensing and image classification technologies.