Change Detection (CD) provides a research basis for environmental monitoring, urban
expansion and reconstruction as well as disaster assessment, by identifying the changes of …

Detecting objects remains one of computer vision and image understanding applications'
most fundamental and challenging aspects. Significant advances in object detection have …

For hyperspectral image (HSI) change detection (CD), multiscale features are usually used
to construct the detection models. However, the existing studies only consider the multiscale …

Buildings are some of the basic spatial elements of a city. Changes in the spatial
distributions of buildings are of great significance for urban planning and monitoring illegal …

As a fundamental task in remote sensing (RS) observation of the earth, change detection
(CD) using hyperspectral images (HSI) features high accuracy due to the combination of the …

Remote sensing change detection (RSCD) aims to explore surface changes from co-
registered pair of images. However, the high cost of memory and computation in previous …

In this paper, we present a lightweight and effective change detection model, called TinyCD.
This model has been designed to be faster and smaller than current state-of-the-art change …

Remote sensing is a tool of interest for a large variety of applications. It is becoming
increasingly more useful with the growing amount of available remote sensing data …

ABSTRACT Large Language Models (LLMs), such as ChatGPT, demonstrate a strong
understanding of human natural language and have been explored and applied in various …

Recent change detection (CD) methods focus on the extraction of deep change semantic
features. However, existing methods overlook the fine-grained features and have the poor …