In this paper, a new object-based wavelet fusion technique is presented for the fusion of multispectral (MS) and panchromatic (PAN) images to improve spatial information and preserve spectral information. The basic idea is to build a segmented label image by statistical region merging and minimum heterogeneity rule (SRMMHR) segmentation method to guide the object-based image fusion (OBIF). Ther...

We examine how the Fusion method handles the followings aspects which characterize a better documentation of the inter-object behavior, namely styles of specification, readability, formal basis, composition and refinement, completeness, temporal ordering of operations, structural constraints, global invariants, individual object specification, preand postconditions, and finally, use case descri...

We study the problem of object detection when training and test objects are disjoint, i.e. no examples target classes available. Existing unseen approaches usually combine generic frameworks with a single-path classifier, by aligning regions semantic class embeddings. In this paper, inspired from human cognitive experience, we propose simple but effective dual-path model that further explores a...