The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …

Remote sensing (RS) image scene classification is an important research topic in the RS
community, which aims to assign the semantics to the land covers. Recently, due to the …

The content-based remote sensing image retrieval (CBRSIR) has attracted increasing
attention with the number of remote sensing (RS) images growing explosively. Benefiting …

With the explosive growth of the volume and resolution of high-resolution remote-sensing
(HRRS) images, the management of them becomes a challenging task. The traditional …

The scene classification of remote sensing (RS) images plays an essential role in the RS
community, aiming to assign the semantics to different RS scenes. With the increase of …

Remote sensing (RS) scene classification plays an essential role in the RS community and
has attracted increasing attention due to its wide applications. Recently, benefiting from the …

In this paper, we elaborate on residual-driven Fuzzy C-Means (FCM) for image
segmentation, which is the first approach that realizes accurate residual (noise/outliers) …

Due to the specific characteristics and complicated contents of remote sensing (RS) images,
remote sensing image retrieval (RSIR) is always an open and tough research topic in the RS …

In recent years, image processing in a Euclidean domain has been well studied. Practical
problems in computer vision and geometric modeling involve image data defined in irregular …

Remote Sensing Image Retrieval remains a challenging topic due to the special nature of
Remote Sensing imagery. Such images contain various different semantic objects, which …