Multimodal classification of remote sensing images: a review and future directions... Then, we illustrate the different approaches in seven challenging remote sensing applications: 1) multiresolution fusion for multispectral image classification; 2) image downscaling as a form of multitemporal image fusion and multidimensional interpolation among sensors of different spatial, spectral, and temporal resolutions; 3) multiangular image classification; 4) ...
Geometric assessment of image quality using digital image registration techniquesImage registration techniques were developed to perform a geometric quality assessment of multispectral and multitemporal image pairs....
Development of phenology based algorithm for cropland and crop type mapping with multitemporal landsat image data - case study in the northwest of vietnam... Both single date and multitemporal image data are used for generation of cropland and crop type maps....
Assessment of the spatial co-registration of multitemporal imagery from large format digital cameras in the context of detailed change detection... However, achieving accurate spatial co-registration between multitemporal image sets is necessary for semi-automated change detection....