—This paper presents a study of vehicle detection from high-resolution aerial images. In this paper, a superpixel segmentation method designed for aerial images is proposed to co...
Abstract—A novel method for anomaly detection in hyperspectral images (HSIs) is proposed based on low-rank and sparse representation. The proposed method is based on the separati...
Yang Xu, Zebin Wu, Jun Li, Antonio J. Plaza, Zhihu...
—Accurate mapping of long-term global soil moisture is of great importance to earth science studies and a variety of applications. An approach for deriving volumetric soil moistu...
—Cloud removal is an important goal for enhancing the utilization of optical remote sensing satellite images. Clouds dynamically affect the signal transmission due to their diffe...
Meng Xu, Mark R. Pickering, Antonio J. Plaza, Xiup...
—A new and robust constant false alarm rate (CFAR) detector based on truncated statistics is proposed for ship detection in single-look intensity (SLI) and multi-look intensity (...
Target detection is an important application in hyperspectral image processing field and several detection algorithms have been proposed in the past decades. Some traditional det...
—This paper presents a detailed characterization of5 sea/ocean clutter returns at X-band, imaged by TerraSAR-X6 (TSX) mission from the radiometric, statistical, and polarimet-7 r...
—Information on vegetation water content (VWC) is important in retrieving soil moisture using microwave remote sensing. It can be also used for other applications, including drou...
Yuancheng Huang, Jeffrey P. Walker, Ying Gao, Xiao...
US wilderness search and rescue consumes thousands of person-hours and millions of dollars annually. Timeliness is critical: the probability of success decreases substantially aft...
Elena Sava, Charles Twardy, Robert Koester, Mukul ...