论文部分内容阅读
综述了遥感影像信息处理技术的研究进展,主要包括高分辨率影像信息提取技术、影像超分辨率、高光谱影像处理和目标探测,以及遥感影像处理与分类的人工智能方法。对于高分辨率影像处理,从纹理、形状、结构和对象的角度探讨了空间信息提取对于高分辨率影像解译的意义和作用,分析了小波纹理、空间共生纹理、形状特征提取和面向对象分类技术的进展和存在的问题;对于超分辨率技术,文章主要介绍了超分辨率技术的最新进展,及其在遥感影像(SPOT5和MODIS)中的应用;在高光谱数据处理方面,从纯净像元和混合像元两方面介绍了最新的进展。对于纯净像元方法,主要分析了植被指数和统计方法,混合像元方面,则主要分析了像元分解、端元提取的最新技术方法;在智能化信息处理方面,先回顾了神经网络和遗传算法在遥感图像处理中的应用,然后介绍了人工免疫系统对多、高光谱遥感影像分类研究的最新进展。
The research progress of remote sensing image information processing technology is summarized, including high-resolution image information extraction technology, image super-resolution, hyperspectral image processing and target detection, and artificial intelligence method of remote sensing image processing and classification. For high-resolution image processing, the significance and effect of spatial information extraction for high-resolution image interpretation are discussed from the aspects of texture, shape, structure and object. The wavelet texture, spatial symbiotic texture, shape feature extraction and object-oriented classification Technology progress and existing problems. For super-resolution technology, the article introduces the latest progress of super-resolution technology and its application in remote sensing images (SPOT5 and MODIS). In the field of hyperspectral data processing, Yuan and mixed pixel two aspects of the latest developments. For the pure pixel method, the vegetation index and the statistical method are mainly analyzed. In the aspect of mixed pixels, the latest techniques of pixel decomposition and endmember extraction are mainly analyzed. In the aspect of intelligent information processing, the neural network and genetic Algorithm in remote sensing image processing, and then introduced the artificial immune system to multi-hyperspectral remote sensing image classification of the latest research progress.