Many methods have been proposed to process stereo matching for rolling shutter image pairs, they treat all pixels from an pair in identical way and require additional estimation approaches estimate motion states of the camera. However, a naturally diverse baseline lengths, are unstable one instantaneous input. In this letter, we present depth pipeline, which can robustly maps by alternating ref...

Due to the cloud coverage of remote-sensing images, ground object information will be attenuated or even lost, and texture spectral image changed at same time. Accurately detecting clouds from images is great significance field remote sensing. Cloud detection utilizes semantic segmentation classify pixel level. However, previous studies have focused on improvement algorithm performance, little ...

Abstract. Depth estimation from images is an important task using scene understanding and reconstruction. Recently, encoder-decoder type fully convolutional architectures have gained great success in the area of depth estimation. extraction aerial satellite one topics photogrammetry remote sensing. This usually done image pairs, or more than two images. Solving this problem a single still chall...