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Jianya Gong - IEEE Xplore Author Profile

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Building vector maps play an essential role in many remote sensing (RS) applications, thereby boosting the deep learning (DL)-based automatic building vector extraction methods. These approaches have achieved pleasant overall accuracy, but their predict-style framework struggles with perceiving subtle details within a tiny area, such as corners and adjacent walls. In this study, we introduce a den...Show More
Fast, high-precision texture maps and high-frame-rate level of detail (LOD) generation for realistic 3-D models are foundational data infrastructures for smart cities. However, LOD generation faces three main issues: reduced model accuracy from mesh simplification, inefficient texture memory utilization, and browsing lag with detail loss. This article proposed a novel LOD rendering method with mul...Show More
The sun glint poses a significant challenge in optical remote sensing of the ocean using unmanned aerial vehicles (UAVs). It contaminates the oceanographic information within the images, not only obscuring underwater seafloor features but also increasing the radiance reflectance within the images, which is detrimental for the study and monitoring of the marine environment. Currently, there are two...Show More
Global navigation satellite system (GNSS)reflected signals have been widely used in remote sensing applications. To overcome the low-power budget of GNSS reflected signals, traditional detection strategies involve extending the coherent processing interval (CPI) of a single frame or employing the multiframe detection (MFD) method in which the noncoherent integration is used to accumulate echo ener...Show More
Most of the existing deep learning-based hyperspectral image (HSI) classification algorithms are based on supervised learning, where a large number of annotated labels with high acquisition cost are required. Self-supervised learning (SSL) methods can learn abundant representations using a large amount of unlabeled data, thereby reducing the reliability of labels. In particular, SSL based on maske...Show More
Urban studies require a rich set of information sources and techniques that enable a comprehensive depiction of urban environments. Remote sensing captures physical characteristics of urban landscapes, while social sensing collects data from social media and digital devices to reflect human activities. The combination of remote sensing and social sensing has been employed to investigate urban envi...Show More
The rapid processing, analysis, and mining of remote sensing big data using intelligent interpretation technology on remote sensing cloud computing platforms (RS-CCPs) have emerged as a new trend. However, existing RS-CCPs primarily focus on optimizing data storage and intelligent computing for common visual representation, overlooking key characteristics of remote sensing data such as large image...Show More
Owing to the global coverage and high visibility of global navigation satellite systems (GNSS), passive radar using GNSS satellites as transmitters of opportunity has shown great potential for moving target detection, and its possibility to detect short-range maritime targets has been verified. Nevertheless, the existing methods always require tens of seconds for echo integration, which is not ide...Show More
Integrating superpixel segmentation into convolutional neural networks is known to be effective in enhancing the accuracy of land-cover classification. However, most of existing methods accomplish such integration by focusing on the development of new network architectures, which suffer from several flaws: conflicts between general superpixels and semantic labels introduce noise into the training,...Show More
The use of delay-Doppler maps (DDMs) measured by Global Navigation Satellite System Reflectometry (GNSS-R) for target detection and location is a hot issue because of the potentially global coverage and short revisit periods of GNSS-R satellite missions. Existing researches have explored the detection of oil rigs, oil spills, sea ice, and other targets with spaceborne GNSS-R. However, these resear...Show More
This paper introduces a cross-scale attention based end-to-end learning framework for tree crown detection via UAV imagery. Given that UAV images covered a large forests, the illumination variations, shadow obstacles and texture repetition always lead to inaccurate tree crown detection results. We introduce a cross-scale attention based mechanism to address the above issues, enabling the tree crow...Show More
Beidou geostationary Earth orbit (GEO) satellite-based global navigation satellite system reflectometry (GNSS-R) technique has been developed for measuring surface deformation in a carrier-phase-based, cost-effective, and continuous manner. However, several improper assumptions in the original system and method, such as neglecting the slight GEO satellite movement during angle determination and de...Show More
Using global navigation satellite systems as transmitters of opportunity for target detection is a hot issue. The problems of this technology are the restricted power budget provided by navigation satellites and the defocusing caused by the movement of target. To refocus the echo and improve the signal-to-noise ratio under the condition of Beidou Geostationary satellites, this article uses jointly...Show More
This article presents a context-aware tracing strategy (CATS) for crisp edge detection with deep edge detectors, based on an observation that the localization ambiguity of deep edge detectors is mainly caused by the mixing phenomenon of convolutional neural networks: Feature mixing in edge classification and side mixing during fusing side predictions. The CATS consists of two modules: A novel trac...Show More
Detecting buildings with structure information (e.g., rooflines) from satellite images is a significant yet challenging task. Existing methods usually suffer from the spatial and spectral diversity and complexity of the architectures. In this paper, a deep learning-based approach is proposed to extract structured building rooflines. We use convolutional neural networks to detect corner and line se...Show More
This paper presents a new semi-supervised method for land cover classification using Sentinel-2 time-series images, which can deal with the problem of unclear observations. First, the MCCR method, which is constituted by the matrix completion (MC) of unclear observations and feature-adaptive collaborative representation (CR) based classifier, is adopted to handle the data quality problem. Second, ...Show More
As the second largest freshwater lake in Yunnan Province of China, Erhai Lake has suffered harmful algal blooms (HABs) since 1996. In January 2017, Dali government issued a series of ecological protection measures to prevent the outbreak of HABs. In order to evaluate the effectiveness of those protection measures, we studied the spatiotemporal distribution of HABs in Erhai Lake by using multi-sour...Show More
Recent advances in single image rectification and intrinsic calibration has been addressed by employing line information on the distorted image. The core issues of this technique are the separation of rectification and calibration procedures, and the suffering of geometric nonconformity. In this work, we propose a novel Geometric Consensus Rectification and Calibration algorithm, which we refer to...Show More
In this article, we propose an automatic method for building area extraction from optical high-resolution imagery by using the recently developed morphological building index (MBI). First, the original MBI feature is calculated to highlight the potential buildings in the imagery. Second, a post-processing framework is used to remove false alarms by taking advantages of the spectral, shadow and sha...Show More
This paper presents a new building indicator based on the multi-angle images, the angular difference feature (ADF), which characterizes angular properties from high-resolution ZY-3 multi-view images. The method for detecting buildings based on ADF consists of two main steps: ADF feature extraction and a post-processing step to refine the results by simultaneously incorporating the spectral and geo...Show More
Speckle inherent in synthetic aperture radar (SAR) images usually complicates visual interpretation and brings difficulty to information extraction for applications. Current speckle filters are mainly developed for single SAR image or an image pair (InSAR or PolInSAR). Although some multichannel filters are proposed, they only exploit pixel intensity to identify statistically homogeneous pixels (S...Show More
People's daily lives depend on the power supply almost uninterruptedly in contemporary society, and the safe operation of power system is an important basis to ensure the safety and stability of industrial production and people's lives. Thus, inspection is necessary to ensure the safe operation of power facilities. Nowadays, there are three main kinds of inspection methods: traditional manual insp...Show More
Recently, driven by innovation of GPS technology, mobile location-based applications were a development of blowout. Trajectory data which contains mining valve is widely distributed and large-scale. How to organize trajectory data on a global scale and support efficient range queries becomes a problem. This paper presents a framework of adaptive Geohash-Tree based on Secondo database to organize t...Show More
To achieve precise sensor orientation of high- resolution satellite imagery (HRSI), ground control points (GCPs) or height models are necessary to remove biases in orientation parameters. However, measuring GCPs is costly, laborious, and time consuming. We cannot even acquire well-defined GCPs in some areas. In this paper, a strip constraint model is established according to the geometric invarian...Show More
This paper proposes a novel adjustment model for mosaicking low-overlap sweeping images captured by medium-altitude unmanned aerial vehicle (UAV) with a long focal length. Commonly used methods are not suitable for this type of data. Three innovations are proposed to make this possible: first, building a new error model denoted by an error homograph matrix, which includes the camera parameter erro...Show More