… and satellite image analysis, object detection in … detection, LULC mapping, geographic
information system (GIS) update, precision agriculture, and urban planning. Object detection in …

… based object detection … for object DetectIon in Optical Remote sensing images, which we
name as DIOR. The dataset contains 23,463 images and 192,472 instances, covering 20 object …

… traditional object detection methods and object detection … , and detection tasks has promoted
the development of image … main position in the field of object detection. Two- and one-…

… sensing object detection … object DetectIon in Optical Remote sensing image (DIOR) dataset).
Compared with the advanced detectors from both the computer vision and remote sensing …

… object detectors for optical remote sensing images remains challenge. A large part of current
detectors focus on single object detecting, … that sizes of different kinds of objects tend to vary …

… images. Existing object detection methods in remote sensing images (RSIs) can be roughly
… ; 2) knowledge-based methods; 3) object-based image analysis (OBIA)-based methods; and …

… object detection for generalization in remote sensing images and do not propose detection
for rotating objects … methods for oriented object detection in remote sensing images in recent …

… In this paper, to adapt the traditional CNN model to object detection in optical remote sensing
images, we have proposed a novel and effective approach to learn an RICNN model by op…

… Results and Evaluation Due to the lack of standard data sets of HR remote sensing images
for object detection, we evaluate the RIPBM on QuickBird for aircraft detection with the …

… While inception has been explored for scene classification, it is, as far as we know, for the
first time used to verify its effectiveness in remote sensing image object detection tasks. …