Abstract: A system and method for unsupervised superpixel-driven instance segmentation of a remote sensing image are provided. The remote sensing image is divided into one or more image patches. The one or more image patches are processed to generate one or more superpixel aggregation patches based on a graph-based aggregation model, respectively. The graph-based aggregation model is configured to learn at least one of a spatial affinity or a feature affinity of a plurality of superpixels from each image patch and aggregate the plurality of superpixels based on the at least one of the spatial affinity or the feature affinity of the plurality of superpixels. The one or more superpixel aggregation patches are combined into an instance segmentation image.

Abstract: The present invention provides a multi-phase controlled multi-well pumping unit and relates to an oil exploitation device. The multi-phase controlled multi-well pumping unit includes: a power part, where include a rotating shaft; a crank part, where the crank part includes two crank mechanisms, and a power output part, where the power output part includes a plurality of flexible-power-rope guide components. The pumping unit drives the dual cranks by two ends of the rotating shaft to serve as a power source, and the dual-crank power output mechanism leads out a plurality of groups of flexible power ropes to drive, by using the uniformly distributed guide components, a plurality of pumping wells to operate. Such practice can effectively reduce energy consumption of the multi-well pumping unit system and further improve efficiency.

Abstract: A method and device for image generation are provided. The method includes: obtaining a text describing a content of an image to be generated; extracting, using a text encoder, a text feature vector from the text; determining a semantic mask as spatial constraints of the image to be generated; and automatically generating the image using a generative adversarial network (GAN) model according to the semantic mask and the text feature vector.

Abstract: The present invention discloses an integrated composite overload injection system and a working method thereof. The feeding mechanism preliminarily mixes water with a main agent and an auxiliary agent of an intelligent energy-gathered oil-displacing agent according to the ratio, the outlet of the feeding mechanism is communicated with the input port of the composite overload mechanism through a pipeline, the composite overload mechanism stirs, mixes, dissolves and overload ripens the preliminarily mixed solution to form mother solution, the mother solution is input from the output port of the composite overload mechanism to the inlet of the booster pump through a pipeline, the booster pump injects the boosted mother solution into the mixer, the mixer mixes the mother solution and the diluted high-pressure water and injects it into an oil-water well, and the power shafts of the composite overload mechanism and the booster pump are both driven by the driving mechanism.

Abstract: According to one aspect of the present disclosure, a method of image enhancement is provided. The method may include receiving, by at least one processor, a query for an enhanced image of a queried region obtained by a remote sensor at a queried time. The method may include obtaining, by the at least one processor, an image dataset associated with the queried region from the remote sensor. In response to the image dataset including a plurality of image data associated with the queried region obtained by the remote sensor, the method may include generating, by the at least one processor, the enhanced image of the queried region using an intra-modal regression model.

Abstract: A system and a method for detecting animals in a region of interest are disclosed. An image that captures a scene in the region of interest is received. The image is fed to an animal detection model to produce a group of probability maps for a group of key points and a group of affinity field maps for a group of key point sets. One or more connection graphs are determined based on the group of probability maps and the group of affinity field maps. Each connection graph outlines a presence of an animal in the image. One or more animals present in the region of interest are detected based on the one or more connection graphs.

Abstract: A method for cutting or extracting video clips from a video, including the audio content relevant to points of particular interest, and combining the same for instruction or training on particular points; a computing device applying the method extracts text information from the spoken audio content of a video to be cut and obtains multiple paragraph segmentation positions as candidates for inclusion in a desired and finished presentation by analyzing the information from text representing the spoken audio content, the analysis being carried out by a semantic segmentation model. Candidate items of text are obtained by isolating pieces of text according to the paragraph segmentation positions. Time stamps of the candidate text segments are acquired, and candidate video clips are obtained by cutting the video according to the acquired time stamps.

Abstract: A system and a method for image-based crop identification are disclosed. The image-based crop identification system includes a database, a communication module and a model library. The database stores sample aerial data and annotated aerial data. The communication module is coupled to the database, and is configured to provide the sample aerial data to a user and receive the annotated aerial data from the user. The model library is coupled to the database, and is configured to obtain the annotated aerial data, train a crop classification model based on the annotated aerial data, and provide the trained crop classification model for subsequent crop identification. The annotated aerial data include determination of the type of the crop appearing in the sample aerial data.

Abstract: The present invention provides a multi-phase controlled multi-well pumping unit and relates to an oil exploitation device. The multi-phase controlled multi-well pumping unit includes: a power part, where include a rotating shaft; a crank part, where the crank part includes two crank mechanisms, and a power output part, where the power output part includes a plurality of flexible-power-rope guide components. The pumping unit drives the dual cranks by two ends of the rotating shaft to serve as a power source, and the dual-crank power output mechanism leads out a plurality of groups of flexible power ropes to drive, by using the uniformly distributed guide components, a plurality of pumping wells to operate. Such practice can effectively reduce energy consumption of the multi-well pumping unit system and further improve efficiency.

Abstract: A system and method for multimodal video segmentation in a multi-speaker scenario are provided. A transcript of a video with a plurality of speakers is segmented into a plurality of sentences. Speaker change information is detected between each two adjacent sentences of the plurality of sentences based on at least one of audio content or visual content of the video. The video is segmented into a plurality of video clips based on the transcript of the video and the speaker change information.

Abstract: A system and a method for super-resolution image processing in remote sensing are disclosed. One or more sets of multi-temporal images with an input resolution and one or more first target images with a first output resolution are generated from one or more data sources. The first output resolution is higher than the input resolution. Each set of multi-temporal images is processed to improve an image match in the corresponding set of multi-temporal images. The one or more sets of multi-temporal images are associated with the one or more first target images to generate a training dataset. A deep learning model is trained using the training dataset. The deep learning model is provided for subsequent super-resolution image processing.

Abstract: A system and method for unsupervised superpixel-driven instance segmentation of a remote sensing image are provided. The remote sensing image is divided into one or more image patches. The one or more image patches are processed to generate one or more superpixel aggregation patches based on a graph-based aggregation model, respectively. The graph-based aggregation model is configured to learn at least one of a spatial affinity or a feature affinity of a plurality of superpixels from each image patch and aggregate the plurality of superpixels based on the at least one of the spatial affinity or the feature affinity of the plurality of superpixels. The one or more superpixel aggregation patches are combined into an instance segmentation image.

Abstract: A method, applied to an apparatus for mammographic multi-view mass identification, includes receiving a main image, a first auxiliary image, and a second auxiliary image. The main image and the first auxiliary image are images of a breast of a person, and the second auxiliary image is an image of another breast of the person. The method further includes detecting the nipple location based on the main image and the first auxiliary image; generating a first probability map of the main image based on the main image, the first auxiliary image, and the nipple location; generating a second probability map of the main image based on the main image, the second auxiliary image, and the nipple location; and generating and outputting a fused probability map based on the first probability map and the second probability map.

Abstract: A portable soil body in-situ shear test device includes: an active force system arranged externally, a passive shear system and an electromagnetic loading system arranged internally, and a ring knife system arranged at a bottom. Compared with the conventional in-situ soil shear strength test device and test method, the present invention is convenient to install and carry as well as simple to operate, and has strong applicability. The present invention is suitable for layered soils with large cross-plate shear test errors, and for soils with different consolidation degrees at various sites and various terrains. A test method adopting the device can simulate the shear strength of the soil mass under different overburden loads without disturbing the mechanical properties of the in-situ soil mass, which has high promotion value in the test of in-situ soil shear strength.

Abstract: A system and a method for monitoring emission of a greenhouse gas are disclosed. A plurality of satellite observations associated with the emission of the greenhouse gas in a first region of interest are received from a plurality of satellite data sources, respectively. The plurality of satellite observations are fused to generate a fused input data set. An emission estimation model is used to generate a first emission estimate of the greenhouse gas in the first region of interest based on the fused input data set.

Abstract: A system and a method for removing haze from remote sensing images are disclosed. One or more hazy input images with at least four spectral channels and one or more target images with the at least four spectral channels are generated. The one or more hazy input images correspond to the one or more target images, respectively. A dehazing deep learning model is trained using the one or more hazy input images and the one or more target images. The dehazing deep learning model is provided for haze removal processing.

Abstract: A system and a method for detecting animals in a region of interest are disclosed. An image that captures a scene in the region of interest is received. The image is fed to an animal detection model to produce a group of probability maps for a group of key points and a group of affinity field maps for a group of key point sets. One or more connection graphs are determined based on the group of probability maps and the group of affinity field maps. Each connection graph outlines a presence of an animal in the image. One or more animals present in the region of interest are detected based on the one or more connection graphs.

Abstract: A system and a method for super-resolution image processing in remote sensing are disclosed. One or more sets of multi-temporal images with an input resolution and one or more first target images with a first output resolution are generated from one or more data sources. The first output resolution is higher than the input resolution. Each set of multi-temporal images is processed to improve an image match in the corresponding set of multi-temporal images. The one or more sets of multi-temporal images are associated with the one or more first target images to generate a training dataset. A deep learning model is trained using the training dataset. The deep learning model is provided for subsequent super-resolution image processing.

Abstract: A system and a method for image-based crop identification are disclosed. The image-based crop identification system includes a database, a communication module and a model library. The database stores sample aerial data and annotated aerial data. The communication module is coupled to the database, and is configured to provide the sample aerial data to a user and receive the annotated aerial data from the user. The model library is coupled to the database, and is configured to obtain the annotated aerial data, train a crop classification model based on the annotated aerial data, and provide the trained crop classification model for subsequent crop identification. The annotated aerial data include determination of the type of the crop appearing in the sample aerial data.

Abstract: A method for cutting or extracting video clips from a video, including the audio content relevant to points of particular interest, and combining the same for instruction or training on particular points; a computing device applying the method extracts text information from the spoken audio content of a video to be cut and obtains multiple paragraph segmentation positions as candidates for inclusion in a desired and finished presentation by analyzing the information from text representing the spoken audio content, the analysis being carried out by a semantic segmentation model. Candidate items of text are obtained by isolating pieces of text according to the paragraph segmentation positions. Time stamps of the candidate text segments are acquired, and candidate video clips are obtained by cutting the video according to the acquired time stamps.