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This paper proposes a deep convolutional neural networks (CNNs) based method to automatically detect suburban buildings from high resolution Google Earth imagery. Traditional methods based on low-level hand-engineered features or mid-level bag of features have great limitations in complex environment, especially in suburban areas. Inspired by the astounding achievement of CNNs in object recognition...
Image processing on-board satellites is no longer a nice to have feature. Lossless image compression allows increasing the stored data on-board satellite and transmitting it to the ground station without losing quality of the images. An overview of development trend in this area, as well as brief state-of-the-art lossless image compression methods on-board satellites are presented in this paper.
In this paper, we propose an algorithm to synthesize high-resolution multispectral images by fusing panchromatic (Pan) images and multispectral (MS) images. The algorithm is based on an adaptive linear model, which is automatically estimated by least square fitting. In this model, a virtual difference band is appended to the MS to guarantee the correlation between the Pan and MS. Then, an iterative...
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