… For the third problem, processing a large number of high-resolution images will increase …
proposes a global optimization model based on feature space and retrieval results (FSRR). …

… four public remote sensing datasets and the results show that … We could know that the ranked
list loss has obtained an … In our paper, we propose a novel global optimized structured loss …

… to the ranking position in the reverse retrieval result. Even if … the results of forward and
reverse search, and combines the … We use the Adam optimizer with the triplet loss to train the …

… We can then obtain the average rank AR(q) as shown in (12)… combination of parameter
values, we adopt the grid search … remote sensing datasets, and the experimental results suggest …

… the sample balance of the positive samples with the ranking … experimental results drawing
on three remote sensing image … , for positive samples, we combined different numbers of …

… remote sensing images is ignored, where an image might have multiple classes (ie, multiple
labels), resulting in poor retrieval … In [15] and [16], a novel multilabel RSIR system combining …

… , the model could rank the images of the database according … images could be obtained,
and based on the ranking results, … the query image among the returned topK retrieval results to …

… As a result of the rapid development of remote sensing … The average normalized modified
retrieval rank (ANMRR), the … We can see that the combined effect of the two schemes is …

… for content-based image retrieval (CBIR) applications in remote sensing (RS). For a … Global
optimization: Combining local loss with result ranking loss in remote sensing image retrieval…

… for highresolution satellite image retrieval by combining deep and tradi… The results indicate
that the deep hash-based method (ie, … remote sensing image retrieval based on image rank …