sp_pagwf.zip - a hybrid deep convolutional neural network (CNN) for
vehicle detection from satellite images. And the research
in [13] introduced the stacked autoencoder to extract spatial
informative features for hyperspectral images classification.,2018-01-24 18:25:50,下载2次
发给各中心通知.rar - CNN is one of the most successful deep learning methods
due to its remarkable performance on ImageNet large-scale
visual recognition competition. The success of CNN is due to
its capacity to learn hierarchical representation to describe the
image scene.,2018-01-24 18:25:04,下载2次
prec_rec (1).zip - We employ the pretrained deep CNN models for VHR
images scene classification, where we used VGG-Net
as the feature extractor by selecting useful layers in
order to get a good representation of the images scene.,2018-01-24 18:23:01,下载2次
MatlabAUC-master (1).zip - As mentioned before, the feature fusion is an efficient step
in scene understanding. We proposed to combine between
the outputs of CNN algorithm, where the final features can
effectively represent the scene images,2018-01-24 18:22:04,下载6次
59623066-CFAR-Thesis-James-Jen-PDF.zip - How
to get good feature descriptors to represent the VHR images
for scene classification is still a critical task for VHR image
scene understanding.,2018-01-24 18:21:24,下载2次