… value in remote sensing image target detection. Therefore, we … detection in remote sensing
images. The experimental results show that the detection accuracy is high, but the detection …

… detection techniques eg, deep Convolutional Neural Networks and multi-scale anchors,
experimental results on a public remote sensing target detection … and Remote sensing laboratory …

… detection accuracy. Some scholars have improved these methods and applied them to target
detection in remote sensing images [19], [20]. For example, for multiscale target detection, …

… subpixel spectral detection of targets in remote sensing images is considered, where two
constrained target detection approaches are studied and compared. One is a target abundance…

… of rapid object detection for high-resolution remote sensing image with CNNs. A YOLO
model is used in this paper for object detection in high resolution remote sensing images. …

… sets of high-resolution remote sensing images for target detection, we evaluate the SSCBOW
method on 50 images collected publicly from Google Earth for aircraft detection. For each …

… the target detection in the remote sensing image … of target detection in remote sensing
images. 3) We conduct a deep empirical study on target detection in the remote sensing image …

… In order to deal with the challenge of hyperspectral remote sensing image subpixel target
detection, we have proposed a novel SML algorithm, which is based on a machine learning …

The geometrical features of airport line segments are seldom used by traditional methods
for airport detection in panchromatic remote sensing images. This letter presents a novel …

… high-resolution remote sensing images for target detection, we evaluate the proposed method
on QuickBird images for aircraft detection. There are 120 images approximately from 200 …